首页 磁力链接怎么用

GetFreeCourses.Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT

文件类型 收录时间 最后活跃 资源热度 文件大小 文件数量
视频 2023-11-24 04:34 2024-12-18 05:10 230 19.04 GB 444
磁力链接
magnet:?xt=urn:btih:52e612f0a0ccc33686659fe4e9db5e99d0c07ec6
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjUyZTYxMmYwYTBjY2MzMzY4NjY1OWZlNGU5ZGI1ZTk5ZDBjMDdlYzZaWg==
二维码链接
GetFreeCourses.Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT的二维码
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接，内容跟本站无关！
相关链接

GetFreeCourses Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days ChatGPT

文件列表
  1. 01 - Introduction/001 Welcome To the Course!.mp430.21MB
  2. 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/001 Day Welcome Message.mp45.26MB
  3. 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/003 What is AWS & Cloud Computing Who Uses them What are their benefits.mp4150.15MB
  4. 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/004 AWS Signup and AWS Management Console Tour.mp462.7MB
  5. 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/005 Regions Vs. Availability Zones.mp455.56MB
  6. 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/006 What's Included in the AWS Free Tier.mp458.35MB
  7. 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/007 Billing Dashboard and Alarm Setup.mp451.91MB
  8. 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/008 Request Service Limit Increase.mp448.9MB
  9. 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/009 Identity and Access Management (IAM) & Multifactor Authentication (MFA).mp4152.46MB
  10. 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/010 Day End Message.mp41.96MB
  11. 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/001 Day Welcome Message.mp46.05MB
  12. 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/003 Artificial Intelligence (AI) Vs. Machine Learning (ML) Vs. Deep Learning (DL).mp4254.27MB
  13. 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/004 Machine Learning The Big Picture.mp4143.56MB
  14. 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/005 Key Ingredients to Build Machine Learning Models.mp4246.28MB
  15. 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/006 Key AIML Components in AWS.mp437.35MB
  16. 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/007 Simple Storage Service (S3) Deep Dive & Demo.mp443.02MB
  17. 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/008 Elastic Compute Cloud (EC2) Deep Dive & Demo.mp4109.53MB
  18. 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/009 Day End Message.mp41.71MB
  19. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/001 Day Welcome Message.mp46.15MB
  20. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/003 Intro to SageMaker.mp4170.88MB
  21. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/004 SageMaker Demo 1 - Walkthrough & Create Notebook instance.mp474.67MB
  22. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/005 SageMaker Demo 2 - Write your first code.mp442.72MB
  23. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/006 SageMaker Demo 3 - AWS Marketplace (Yolo V3 Object Detector).mp474.04MB
  24. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/007 SageMaker Demo 4 - SageMaker Studio 101.mp486.21MB
  25. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/008 SageMaker Demo 5 - SageMaker Canvas 101.mp451.39MB
  26. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/009 SageMaker Demo 6 - Upload data to S3.mp430.47MB
  27. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/010 SageMaker Demo 7 - Train Machine Learning Model.mp440.49MB
  28. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/011 Final Capstone Project Question.mp411.83MB
  29. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/012 Final Capstone Project Solution.mp434.25MB
  30. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/013 Shutdown Canvas.mp41.88MB
  31. 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/014 Day End Message.mp41.94MB
  32. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/001 Day Welcome Message.mp47.25MB
  33. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/003 Project Overview and AWS Groundtruth.mp454.38MB
  34. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/004 21st Century New Gold!.mp439.52MB
  35. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/005 Data Sources and Types.mp4210.49MB
  36. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/006 Why Do We Need Labeled Datasets.mp465.98MB
  37. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/007 Data Labeling Challenges and Applications.mp416.13MB
  38. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/008 Json Lines and Manifest Files 101.mp462.1MB
  39. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/009 AWS SageMaker GroundTruth Demo Part 1.mp499.39MB
  40. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/010 AWS SageMaker GroundTruth Demo Part 2.mp4102.68MB
  41. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/011 Final Capstone Project - Question.mp415.54MB
  42. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/012 Final Capstone Project - Solution.mp462.79MB
  43. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/013 Additional Topic GroundTruth Plus and Auto-Labeling.mp441.3MB
  44. 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/014 Day End Message.mp42.33MB
  45. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/001 Day Welcome Message.mp45.69MB
  46. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/003 Introduction and Project Overview.mp425.9MB
  47. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/004 Labeling Text Data in SageMaker GroundTruth - Demo Part #1.mp453.39MB
  48. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/005 Labeling Text Data in SageMaker GroundTruth - Demo Part #2.mp411.42MB
  49. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/006 Labeling Text Data in SageMaker GroundTruth - Demo Part #3.mp431.24MB
  50. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/007 Semantic Segmentation in Groundtruth Demo #1.mp462.96MB
  51. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/008 Semantic Segmentation in Groundtruth Demo #2.mp454.63MB
  52. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/009 SageMaker GroundTruth Pricing.mp463.43MB
  53. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/010 Practice Opportunity - GroundTruth Pricing.mp428.53MB
  54. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/011 Final Capstone Project - Question.mp46.34MB
  55. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/012 Final Capstone Project - Solution.mp436.11MB
  56. 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/013 Day End Message.mp41.94MB
  57. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/001 Day Welcome Message.mp46.81MB
  58. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/003 Exploratory Data Analysis (EDA) 101.mp498.57MB
  59. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/004 Project Overview - EDA with Pandas.mp415.97MB
  60. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/005 Jupyter Notebooks and SageMaker Studio Setup.mp486.44MB
  61. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/006 Coding Task 1 - Define Pandas DataFrame.mp439.7MB
  62. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/007 Practice Opportunity 1.mp449.17MB
  63. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/008 Coding Task 2 - Load CSV and Statistical Analysis.mp420.73MB
  64. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/009 Practice Opportunity 2.mp424.12MB
  65. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/010 Coding Task 3 - SetReset Index in Pandas.mp427.24MB
  66. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/011 Practice Opportunity 3.mp412.34MB
  67. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/012 Final Capstone Project Question.mp429.19MB
  68. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/013 Final Capstone Project Solution.mp445.59MB
  69. 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/014 Day End Message.mp41.11MB
  70. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/001 Day Welcome Message.mp43.49MB
  71. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes.mp48.15MB
  72. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/004 Coding Task 1 - Import Datasets.mp433.3MB
  73. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/005 Practice Opportunity 1.mp459.95MB
  74. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/006 Coding Task 2 - Access Elements in Pandas DataFrame.mp457.95MB
  75. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/007 Practice Opportunity 2.mp412.11MB
  76. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/008 Coding Task 3 - Delete and Add Columns.mp428.72MB
  77. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/009 Practice Opportunity 3.mp446.66MB
  78. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/010 Coding Task 4 - Label-based Indexing with .Loc().mp441.27MB
  79. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/011 Practice Opportunity 4.mp428.93MB
  80. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/012 Coding Task 5 - Integer-based Indexing with .iLoc().mp430.02MB
  81. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/013 Practice Opportunity 5.mp425.25MB
  82. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/014 Coding Task 6 - Broadcasting Operation.mp422.5MB
  83. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/015 Practice Opportunity 6.mp420.68MB
  84. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/016 Coding Task 7 - Sorting Pandas DataFrames.mp423.42MB
  85. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/017 Practice Opportunity 7.mp424.1MB
  86. 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/018 Day End Message.mp41.36MB
  87. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/001 Day Welcome Message.mp43.74MB
  88. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes.mp425.91MB
  89. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/004 Coding Task 1 - Import and Explore Dataset.mp444.13MB
  90. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/005 Practice Opportunity 1.mp420.47MB
  91. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/006 Coding Task 2 - Deal with Missing Dataset.mp443.68MB
  92. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/007 Practice Opportunity 2.mp418MB
  93. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/008 Coding Task 3 - Change Pandas DataFrame datatypes.mp418.54MB
  94. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/009 Practice Opportunity 3.mp412.07MB
  95. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/010 Coding Task 4 - Pandas and Functions.mp442.91MB
  96. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/011 Practice Opportunity 4.mp424.6MB
  97. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/012 Coding Task 5 - Pandas Operations and Filtering.mp452.41MB
  98. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/013 Practice Opportunity 5.mp423.45MB
  99. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/014 Coding Task 6 - Perform EDA on Both Classes.mp424.27MB
  100. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/015 Practice Opportunity 6.mp435.26MB
  101. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/016 Coding Task 7 - Correlations and Histograms.mp479.09MB
  102. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/017 Practice Opportunity 7.mp435.94MB
  103. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/018 Final Capstone Projects - Questions.mp415.69MB
  104. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/019 Final Capstone Projects - Solutions.mp461.57MB
  105. 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/020 Day End Message.mp41.55MB
  106. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/001 Day Welcome Message.mp45.27MB
  107. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/003 Project Overview.mp433.63MB
  108. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/004 Data Visualization 101.mp4122.16MB
  109. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/005 Matplotlib Overview.mp442.18MB
  110. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/006 Seaborn Overview.mp473.66MB
  111. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/007 Coding Task 1 - Plot line plot in Matplotlib.mp467.07MB
  112. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/008 Practice Opportunity 1.mp416.91MB
  113. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/009 Coding Task 2 - Plot Multiple Line Plots in Matplotlib.mp411.67MB
  114. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/010 Practice Opportunity 2.mp411.64MB
  115. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/011 Coding Task 3 - Plot Subplots in Matplotlib.mp413.63MB
  116. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/012 Practice Opportunity 3.mp420.36MB
  117. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/013 Coding Task 4 - Plot Scatterplots in Matplotlib.mp431.29MB
  118. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/014 Practice Opportunity 4.mp47.61MB
  119. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/015 Coding Task 5 - Plot Pie Charts in Matplotlib.mp426.16MB
  120. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/016 Practice Opportunity 5.mp447.51MB
  121. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/017 Coding Task 6 - Plot Histograms in Matplotlib.mp423.42MB
  122. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/018 Practice Opportunity 6.mp414.79MB
  123. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/019 Coding Task 7 - Plot Countplot and Scatterplot in Seaborn.mp457.71MB
  124. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/020 Practice Opportunity 7.mp46.11MB
  125. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/021 Coding Task 8 - Plot Correlation Heatmaps, Displot and Pairplot.mp486.66MB
  126. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/022 Practice Opportunity 8.mp449.39MB
  127. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/023 Final End of Day Capstone Project Questions.mp440.67MB
  128. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/024 Final End of Day Capstone Project Solutions.mp4110.29MB
  129. 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/025 Day End Message.mp4998.21KB
  130. 14 - Day 10 Amazon SageMaker Data Wrangler/001 Day Welcome Message.mp46.5MB
  131. 14 - Day 10 Amazon SageMaker Data Wrangler/003 Project Overview.mp412.44MB
  132. 14 - Day 10 Amazon SageMaker Data Wrangler/004 Data Wrangler 101.mp4124.78MB
  133. 14 - Day 10 Amazon SageMaker Data Wrangler/005 Feature Engineering 101.mp439.4MB
  134. 14 - Day 10 Amazon SageMaker Data Wrangler/006 One-Hot Encoding 101.mp431.53MB
  135. 14 - Day 10 Amazon SageMaker Data Wrangler/007 Normalization vs. Standardization (Feature Scaling in Machine Learning).mp4244.74MB
  136. 14 - Day 10 Amazon SageMaker Data Wrangler/008 Data Wrangler Demo 1 - Import Data From S3.mp448.36MB
  137. 14 - Day 10 Amazon SageMaker Data Wrangler/009 Data Wrangler Demo 2 - Change Datatypes & Generate Summary Table.mp447.07MB
  138. 14 - Day 10 Amazon SageMaker Data Wrangler/010 Data Wrangler Demo 3 - Data Visualization.mp429.86MB
  139. 14 - Day 10 Amazon SageMaker Data Wrangler/011 Data Wrangler Demo 4 - Bias Report, Remove Duplicates & Feature Importance.mp449.92MB
  140. 14 - Day 10 Amazon SageMaker Data Wrangler/012 Data Wrangler Demo 5 - Data Impute, Handle Missing and 1-Hot Encoding.mp460.33MB
  141. 14 - Day 10 Amazon SageMaker Data Wrangler/013 Data Wrangler Demo 6 - Perform Custom and Feature Scaling.mp477.34MB
  142. 14 - Day 10 Amazon SageMaker Data Wrangler/014 Data Wrangler Demo 7 - Export Dataflow.mp434.01MB
  143. 14 - Day 10 Amazon SageMaker Data Wrangler/015 Data Wrangler Demo 8 - Shutdown Resources.mp413.17MB
  144. 14 - Day 10 Amazon SageMaker Data Wrangler/016 Final Capstone Project - Questions.mp48.51MB
  145. 14 - Day 10 Amazon SageMaker Data Wrangler/017 Final Capstone Project - Solutions.mp4115.94MB
  146. 14 - Day 10 Amazon SageMaker Data Wrangler/018 Day End Message.mp41.2MB
  147. 16 - Day 11 Simple Linear Regression in Scikit-Learn/001 Day Welcome Message.mp46.34MB
  148. 16 - Day 11 Simple Linear Regression in Scikit-Learn/003 Project Overview.mp468.31MB
  149. 16 - Day 11 Simple Linear Regression in Scikit-Learn/004 Simple Linear Regression 101.mp420.61MB
  150. 16 - Day 11 Simple Linear Regression in Scikit-Learn/005 Least Sum of Squares.mp454.28MB
  151. 16 - Day 11 Simple Linear Regression in Scikit-Learn/006 Scikit-Learn Library Overview.mp4100.23MB
  152. 16 - Day 11 Simple Linear Regression in Scikit-Learn/007 Coding Task #1 - Import Libraries and Datasets.mp461.36MB
  153. 16 - Day 11 Simple Linear Regression in Scikit-Learn/008 Practice Opportunity #1.mp413.12MB
  154. 16 - Day 11 Simple Linear Regression in Scikit-Learn/009 Coding Task #2 - Explore the Data.mp410.65MB
  155. 16 - Day 11 Simple Linear Regression in Scikit-Learn/010 Practice Opportunity #2.mp425.79MB
  156. 16 - Day 11 Simple Linear Regression in Scikit-Learn/011 Coding Task #3 - Perform Data Visualization.mp450.38MB
  157. 16 - Day 11 Simple Linear Regression in Scikit-Learn/012 Practice Opportunity #3.mp411.82MB
  158. 16 - Day 11 Simple Linear Regression in Scikit-Learn/013 Coding Task #4 - Prepare the Data Before Model Training.mp439.76MB
  159. 16 - Day 11 Simple Linear Regression in Scikit-Learn/014 Practice Opportunity #4.mp413.7MB
  160. 16 - Day 11 Simple Linear Regression in Scikit-Learn/015 Train a Simple Linear Regression Model in SK-Learn.mp424.88MB
  161. 16 - Day 11 Simple Linear Regression in Scikit-Learn/016 Practice Opportunity #5.mp410.31MB
  162. 16 - Day 11 Simple Linear Regression in Scikit-Learn/017 Evaluate Trained Model Performance.mp422.13MB
  163. 16 - Day 11 Simple Linear Regression in Scikit-Learn/018 Practice Opportunity #6.mp436.69MB
  164. 16 - Day 11 Simple Linear Regression in Scikit-Learn/019 Final Capstone Project - Questions.mp413.92MB
  165. 16 - Day 11 Simple Linear Regression in Scikit-Learn/020 Final Capstone Project - Solution.mp447.52MB
  166. 16 - Day 11 Simple Linear Regression in Scikit-Learn/021 Day End Message.mp42.23MB
  167. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/001 Day Welcome Message.mp416.55MB
  168. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/003 Overview of AWS SageMaker Built-in Algorithms.mp447.4MB
  169. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/004 AWS SageMaker Linear Learner Algorithm Overview.mp4179.53MB
  170. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/005 Coding Task #1 - Problem Overview.mp438.3MB
  171. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/006 Practice Opportunity #1.mp422.27MB
  172. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/007 Coding Task #2 - Import Libraries and Datasets.mp456.51MB
  173. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/008 Practice Opportunity #2.mp452.6MB
  174. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/009 Coding Task #3 - Train a Linear Learner Model in SageMaker.mp4230.64MB
  175. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/010 Practice Opportunity #3.mp4131.03MB
  176. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/011 Coding Task #4 - Deploy Endpoint.mp499.1MB
  177. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/012 Practice Opportunity #4.mp459.83MB
  178. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/013 Final Capstone Project Questions.mp413.44MB
  179. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/014 Final Capstone Project Solution.mp490.99MB
  180. 17 - Day 12 Regression Using AWS SageMaker Linear Learner/015 Day End Message.mp41.37MB
  181. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/001 Day Welcome Message.mp45.31MB
  182. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/003 Project Overview.mp457.37MB
  183. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/004 Success Stories Price Prediction with AIML.mp463.48MB
  184. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/005 Multiple Linear Regression 101.mp431.33MB
  185. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/006 Regression Metrics - Part #1.mp447.95MB
  186. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/007 Regression Metrics - Part #2.mp461.64MB
  187. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/008 SageMaker Studio Domain Setup.mp412.39MB
  188. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/009 Coding Task #1 - Import Key LibrariesDatasets.mp449.03MB
  189. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/010 Practice Opportunity #1.mp422.76MB
  190. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/011 Coding Task #2 - EDA and Data Visualization.mp458.05MB
  191. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/012 Practice Opportunity #2.mp431.62MB
  192. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/013 Coding Task #3 - EDA and Data Visualization 2.mp453.35MB
  193. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/014 Practice Opportunity #3.mp428.27MB
  194. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/015 Coding Task #4 - Prepare the Data For Model Training.mp421.43MB
  195. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/016 Practice Opportunity #4.mp419.86MB
  196. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/017 Coding Task #5 - Train ML Model in Scikit-Learn.mp426.81MB
  197. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/018 Practice Opportunity #5.mp445.18MB
  198. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/019 Capstone Project Questions.mp423.31MB
  199. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/020 Capstone Project Solutions.mp477.92MB
  200. 18 - Day 13 Multiple Linear Regression in Scikit-Learn/021 Day End Message.mp42.14MB
  201. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/001 Day Welcome Message.mp44.71MB
  202. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/003 Project Card [Skip If Familiar].mp411.52MB
  203. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/004 Coding Task #1 - Notebook Walkthrough Project Overview.mp421.71MB
  204. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/005 Coding Task #2 - Perform EDA and Visualization.mp495.7MB
  205. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/006 Coding Task #3 - Train a Linear Learner Model in SageMaker (Multiple Regression).mp4125.62MB
  206. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/007 Practice Opportunity #1.mp454.04MB
  207. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/008 Coding Task #4 - Deploy an Endpoint.mp459.59MB
  208. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/009 Final Capstone Project - Questions.mp45.07MB
  209. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/010 Final Capstone Project - Solutions.mp426.15MB
  210. 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/011 Day End Message.mp4717.35KB
  211. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/001 Day Welcome Message.mp48.19MB
  212. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/003 Project Overview and Project Card.mp438.19MB
  213. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/004 The Rise of Machine Learning in Higher Education.mp436.89MB
  214. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/005 Simple and Multiple Linear Regression [Recap].mp426.9MB
  215. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/006 Practice Opportunity 1.mp417.55MB
  216. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/007 Demo Launch a Training Job in AWS SageMaker Console.mp4101.57MB
  217. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/008 Demo Analyze Training Job Outputs and Metrics.mp454.33MB
  218. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/009 Demo Deploy an Endpoint.mp467.08MB
  219. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/010 Final End-of-Day Capstone Project Question.mp423.2MB
  220. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/011 Final End-of-Day Capstone Project Solution.mp4103.83MB
  221. 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/012 Day End Message.mp41.29MB
  222. 21 - Day 16 XG-Boost Regression in Scikit-Learn/001 Day Welcome Message.mp45.38MB
  223. 21 - Day 16 XG-Boost Regression in Scikit-Learn/003 Project Overview and Card.mp423.62MB
  224. 21 - Day 16 XG-Boost Regression in Scikit-Learn/004 Introduction to XG-Boost Algorithm.mp461.14MB
  225. 21 - Day 16 XG-Boost Regression in Scikit-Learn/005 What is Boosting.mp4104.38MB
  226. 21 - Day 16 XG-Boost Regression in Scikit-Learn/006 Ensemble Learning.mp481.91MB
  227. 21 - Day 16 XG-Boost Regression in Scikit-Learn/007 XG-Boost Algorithm Deep Dive (with examples).mp4374.13MB
  228. 21 - Day 16 XG-Boost Regression in Scikit-Learn/008 Coding Task 1 - Project Overview and Import data.mp417.18MB
  229. 21 - Day 16 XG-Boost Regression in Scikit-Learn/009 Practice Opportunity 1.mp48.59MB
  230. 21 - Day 16 XG-Boost Regression in Scikit-Learn/010 Coding Task 2 - Perform EDA and Visualization.mp466.99MB
  231. 21 - Day 16 XG-Boost Regression in Scikit-Learn/011 Practice Opportunity 2.mp417.8MB
  232. 21 - Day 16 XG-Boost Regression in Scikit-Learn/012 Coding Task 3 - Prepare the Data for Model Training.mp49.06MB
  233. 21 - Day 16 XG-Boost Regression in Scikit-Learn/013 Practice Opportunity 3.mp413.32MB
  234. 21 - Day 16 XG-Boost Regression in Scikit-Learn/014 Coding Task 4 - Train and Test XG-Boost Algorithm.mp421.06MB
  235. 21 - Day 16 XG-Boost Regression in Scikit-Learn/015 Practice Opportunity 4.mp49.98MB
  236. 21 - Day 16 XG-Boost Regression in Scikit-Learn/016 Final Capstone Project Question.mp45.2MB
  237. 21 - Day 16 XG-Boost Regression in Scikit-Learn/017 Final Capstone Project Solution.mp4182.72MB
  238. 21 - Day 16 XG-Boost Regression in Scikit-Learn/018 Day End Message.mp41.18MB
  239. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/001 Day Welcome Message.mp43.95MB
  240. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/003 Project Overview.mp416.43MB
  241. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/004 SageMaker Built-in XG-Boost Algorithm.mp4191.48MB
  242. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/005 Coding Task 1 - Import datalibraries and Perform EDA.mp445.58MB
  243. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/006 Coding Task 2 - Train SageMaker Built-in XG-Boost Algorithm - Part 1.mp480.49MB
  244. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/007 Coding Task 3 - Train SageMaker Built-in XG-Boost Algorithm - Part 2.mp462.65MB
  245. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/008 Coding Task 4 - Deploy Trained SageMaker Built-in XG-Boost Algorithm.mp4113.83MB
  246. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/009 Practice Opportunity 1.mp445.85MB
  247. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/010 Final Capstone Project Question.mp46.91MB
  248. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/011 Final Capstone Project Solution - Part 1.mp470.16MB
  249. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/012 Final Capstone Project Solution - Part 2.mp482.86MB
  250. 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/013 Day End Message.mp42.43MB
  251. 23 - Day 18 AWS SageMaker JumpStart/001 Day Welcome Message.mp44.27MB
  252. 23 - Day 18 AWS SageMaker JumpStart/003 Project Introduction and Key Learning Outcomes.mp411.62MB
  253. 23 - Day 18 AWS SageMaker JumpStart/004 AWS SageMaker JumpStart Overview.mp441.02MB
  254. 23 - Day 18 AWS SageMaker JumpStart/005 Data Split for SageMaker JumpStart.mp469.48MB
  255. 23 - Day 18 AWS SageMaker JumpStart/006 JumpStart Demo Part 1 - Data Upload.mp471.19MB
  256. 23 - Day 18 AWS SageMaker JumpStart/007 JumpStart Demo Part 2 - Train the Model.mp416.69MB
  257. 23 - Day 18 AWS SageMaker JumpStart/008 JumpStart Demo Part 3 - Deploy an Endpoint.mp412.51MB
  258. 23 - Day 18 AWS SageMaker JumpStart/009 JumpStart Demo Part 4 - Invoke Endpoint.mp486.33MB
  259. 23 - Day 18 AWS SageMaker JumpStart/010 Final Capstone Project Question.mp420.23MB
  260. 23 - Day 18 AWS SageMaker JumpStart/011 Final Capstone Project Solution Part 1.mp451.13MB
  261. 23 - Day 18 AWS SageMaker JumpStart/012 Final Capstone Project Solution Part 2.mp454.38MB
  262. 23 - Day 18 AWS SageMaker JumpStart/013 Day End Message.mp41.34MB
  263. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/001 Day Welcome Message.mp46.84MB
  264. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/003 Project Overview and Card.mp470.93MB
  265. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/004 Hyperparameters 101.mp4121.66MB
  266. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/005 Hyperparameters Optimization Strategies.mp482.3MB
  267. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/006 Bias Variance Tradeoff.mp4205.65MB
  268. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/007 L2 Regularization (Ridge Regression).mp4127.3MB
  269. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/008 L1 Regularization (Lasso Regression).mp495.33MB
  270. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/009 Coding Task 1 - Import Libraries and Datasets.mp418.45MB
  271. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/010 Practice Opportunity 1.mp415.46MB
  272. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/011 Coding Task 2 - Perform Data Cleaning.mp459.08MB
  273. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/012 Coding Task 3 - Perform Data Visualization.mp450.89MB
  274. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/013 Practice Opportunity 2.mp415.85MB
  275. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/014 Coding Task 4 - Split the Data into TrainingTesting.mp437.73MB
  276. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/015 Coding Task 5 - Train an XG-Boost Algorithm in SKLearn.mp424.87MB
  277. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/016 Practice Opportunity 3.mp47.72MB
  278. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/017 Coding Task 6 - Hyperparameters Optimization Using GridSearchCV.mp455.51MB
  279. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/018 Practice Opportunity 4.mp436.05MB
  280. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/019 Coding Task 7 - Hyperparameters Using Random Search.mp419.8MB
  281. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/020 Coding Task 8 - Hyperparameters Optimization Using Bayesian Optimizers.mp433.18MB
  282. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/021 Final Capstone Project Question.mp46.48MB
  283. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/022 Final Capstone Project Solution.mp448.36MB
  284. 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/023 Day End Message.mp42.03MB
  285. 26 - Day 20 Hyperparameters Optimization in SageMaker/001 Day Welcome Message.mp44.68MB
  286. 26 - Day 20 Hyperparameters Optimization in SageMaker/003 Project Overview.mp446.72MB
  287. 26 - Day 20 Hyperparameters Optimization in SageMaker/004 Coding Task 1 - Import and Clean Datasets.mp428.99MB
  288. 26 - Day 20 Hyperparameters Optimization in SageMaker/005 Coding Task 2 - Visualize Data.mp441.62MB
  289. 26 - Day 20 Hyperparameters Optimization in SageMaker/006 Coding Task 3 - Train an XG-Boost Algo (without Hyperparameters Optimization).mp4104.86MB
  290. 26 - Day 20 Hyperparameters Optimization in SageMaker/007 Coding Task 4 - DeployTest XG-Boost Algo (without Hyperparameters Optimization).mp449.78MB
  291. 26 - Day 20 Hyperparameters Optimization in SageMaker/008 Coding Task 5 - Perform HyperParameters Optimization in SageMaker.mp482.04MB
  292. 26 - Day 20 Hyperparameters Optimization in SageMaker/009 Deploy Best Model and Assess its Performance.mp461.21MB
  293. 26 - Day 20 Hyperparameters Optimization in SageMaker/010 Final Capstone Project Question.mp419.64MB
  294. 26 - Day 20 Hyperparameters Optimization in SageMaker/011 Final Capstone Project Solution Part 1.mp484.36MB
  295. 26 - Day 20 Hyperparameters Optimization in SageMaker/012 Final Capstone Project Solution Part 2.mp437.85MB
  296. 26 - Day 20 Hyperparameters Optimization in SageMaker/013 Final Capstone Project Solution Part 3.mp425.12MB
  297. 26 - Day 20 Hyperparameters Optimization in SageMaker/014 Final Capstone Project Solution Part 4.mp436.11MB
  298. 26 - Day 20 Hyperparameters Optimization in SageMaker/015 Day End Message.mp42.08MB
  299. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/001 Day Welcome Message.mp47.68MB
  300. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/003 Project Overview.mp416.53MB
  301. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/004 Coding Task 1 - Import Libraries and Datasets.mp420.31MB
  302. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/005 Practice Opportunity 1.mp414.12MB
  303. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/006 Coding Task 2 - Perform Data Visualization.mp465.88MB
  304. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/007 Practice Opportunity 2.mp427.93MB
  305. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/008 Coding Task 3 - Plot Feature Importance.mp429.86MB
  306. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/009 Coding Task 4 - Logistic Regression.mp426.27MB
  307. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/010 Classifier Models Key Performance Indicators (KPIs) & Metrics.mp463.51MB
  308. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/011 Practice Opportunity 3.mp420.02MB
  309. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/012 Coding Task 5 - Support Vector Machines (SVM).mp450.64MB
  310. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/013 Coding Task 6 - Random Forest Classifier Model.mp441.19MB
  311. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/014 Coding Task 7 - K Nearest Neighbors (KNN).mp458.62MB
  312. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/015 Practice Opportunity 4.mp410.16MB
  313. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/016 Coding Task 8 - Naïve Bayes Classifier Models.mp445.69MB
  314. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/017 Practice Opportunity 5.mp437.21MB
  315. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/018 Coding Task 9 - Compare Classifier Models.mp424.85MB
  316. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/019 Coding Task 10 - Concluding Remarks.mp46.57MB
  317. 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/020 Day End Message.mp41.06MB
  318. 29 - Day 22 XG-Boost Classification in AWS SageMaker/001 Day Welcome Message.mp45.23MB
  319. 29 - Day 22 XG-Boost Classification in AWS SageMaker/003 Project Overview.mp470.61MB
  320. 29 - Day 22 XG-Boost Classification in AWS SageMaker/004 XG-Boost 101 [Review].mp471.22MB
  321. 29 - Day 22 XG-Boost Classification in AWS SageMaker/005 Classifier Models KPIs.mp463.52MB
  322. 29 - Day 22 XG-Boost Classification in AWS SageMaker/006 Coding Task 1 - Understand the Problem Statement and Load Data.mp417.28MB
  323. 29 - Day 22 XG-Boost Classification in AWS SageMaker/007 Practice Opportunity 1.mp422.12MB
  324. 29 - Day 22 XG-Boost Classification in AWS SageMaker/008 Coding Task 2 - Perform Data Visualization.mp4135.98MB
  325. 29 - Day 22 XG-Boost Classification in AWS SageMaker/009 Practice Opportunity 2.mp415.07MB
  326. 29 - Day 22 XG-Boost Classification in AWS SageMaker/010 Coding Task 3 - Prepare the data for Model Training.mp417.98MB
  327. 29 - Day 22 XG-Boost Classification in AWS SageMaker/011 Coding Task 4 - Train and Evaluate XG-Boost.mp441.65MB
  328. 29 - Day 22 XG-Boost Classification in AWS SageMaker/012 Practice Opportunity 3.mp426.84MB
  329. 29 - Day 22 XG-Boost Classification in AWS SageMaker/013 Coding Task 5 - Train XG-Boost SageMaker.mp484.86MB
  330. 29 - Day 22 XG-Boost Classification in AWS SageMaker/014 Coding Task 6 - Deploy and Test XG-Boost Model.mp456.67MB
  331. 29 - Day 22 XG-Boost Classification in AWS SageMaker/015 Practice Opportunity 4.mp436.02MB
  332. 29 - Day 22 XG-Boost Classification in AWS SageMaker/016 Final Capstone Project Question.mp437.45MB
  333. 29 - Day 22 XG-Boost Classification in AWS SageMaker/017 Final Capstone Project Solution Part 1.mp455.2MB
  334. 29 - Day 22 XG-Boost Classification in AWS SageMaker/018 Final Capstone Project Solution Part 2.mp444.03MB
  335. 29 - Day 22 XG-Boost Classification in AWS SageMaker/019 Day End Message.mp41.09MB
  336. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/001 Day Welcome Message.mp46.44MB
  337. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/003 Project Overview.mp410.8MB
  338. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/004 K Nearest Neighbors Algorithm 101.mp4142.15MB
  339. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/005 K Nearest Neighbors in SageMaker.mp447.35MB
  340. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/006 Coding Task 1 - Import Libraries and Datasets.mp428.93MB
  341. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/007 Practice Opportunity 1.mp412.57MB
  342. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/008 Coding Task 2 - Perform Data Visualization.mp430.65MB
  343. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/009 Practice Opportunity 2.mp47.86MB
  344. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/010 Coding Task 3 - Split the data.mp48.94MB
  345. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/011 Coding Task 4 - Train KNN Model in SKLearn.mp415.02MB
  346. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/012 Coding Task 5 - Evaluate Trained Model Performance.mp412.58MB
  347. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/013 Coding Task 6 - Train SageMaker Built-in KNN Algorithm.mp489.28MB
  348. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/014 Coding Task 7 - Evaluate trained model performance.mp464.35MB
  349. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/015 Final Capstone Project Question.mp44.47MB
  350. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/016 Final Capstone Project Solution.mp437.06MB
  351. 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/017 Day End Message.mp41.19MB
  352. 31 - Day 24 ChatGPT for Programmers/001 Find the Proper Programming Language Syntax Using ChatGPT and GPT-4.mp436.28MB
  353. 31 - Day 24 ChatGPT for Programmers/002 Prepare a Study Plan and Find Best Resources (CoursesBooks) with ChatGPT.mp462.19MB
  354. 31 - Day 24 ChatGPT for Programmers/003 Perform Code Generation and Design Using ChatGPT.mp430.56MB
  355. 31 - Day 24 ChatGPT for Programmers/004 Perform Code Debugging Using ChatGPT.mp454.27MB
  356. 31 - Day 24 ChatGPT for Programmers/005 Optimize Your Code With ChatGPT.mp448.26MB
  357. 31 - Day 24 ChatGPT for Programmers/006 Conduct Code Review With ChatGPT.mp461.33MB
  358. 31 - Day 24 ChatGPT for Programmers/007 Leverage ChatGPT to Add New Features to Your Code.mp463.11MB
  359. 31 - Day 24 ChatGPT for Programmers/008 Use ChatGPT to Test and Validate Your Code.mp438.22MB
  360. 31 - Day 24 ChatGPT for Programmers/009 Perform Code Documentation With ChatGPT.mp448.64MB
  361. 31 - Day 24 ChatGPT for Programmers/010 Convert from One Programming Language to Another Using ChatGPT.mp433.51MB
  362. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/001 Day Welcome Message.mp47.79MB
  363. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/003 Project Overview & AutoGluon for Tabular Data.mp49.85MB
  364. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/004 AI Applications in Business.mp457.05MB
  365. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/005 Practice Opportunity.mp468.16MB
  366. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/006 Regression Recap.mp466.36MB
  367. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/007 AutoGluon 101.mp473.77MB
  368. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/008 AutoGluon Presets and Fit Parameters.mp456.19MB
  369. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/009 Coding Task 1 - Import AutoGluon and data Import.mp431.4MB
  370. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/010 Practice Opportunity 1.mp412.74MB
  371. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/011 Coding Task 2 - Perform Exploratory Data Analysis (EDA).mp414.14MB
  372. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/012 Practice Opportunity 2.mp410.59MB
  373. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/013 Coding Task 3 - Visualize Dataset.mp438.95MB
  374. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/014 Practice Opportunity 3.mp421.79MB
  375. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/015 Coding Task 4 - Train Models with AutoGluon.mp493.05MB
  376. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/016 Coding Task 5 - Evaluate Trained Models.mp462.06MB
  377. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/017 Practice Opportunity 4.mp433.83MB
  378. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/018 Final Capstone Project Question.mp418.66MB
  379. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/019 Final Capstone Project Solution Part 1.mp447.7MB
  380. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/020 Final Capstone Project Solution Part 2.mp498.92MB
  381. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/021 Final Capstone Project Solution Part 3.mp437.78MB
  382. 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/022 Day End Message.mp42.67MB
  383. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/001 Day Welcome Message.mp47.4MB
  384. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/003 Project Overview.mp416.37MB
  385. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/004 Classification Models KPIs [ReviewSkip if Familiar].mp430.54MB
  386. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/005 AutoGluon for Classification Tasks.mp473.64MB
  387. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/006 Coding Task 1 - Import Datasets and AutoGloun.mp426.37MB
  388. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/007 Practice Opportunity 1.mp431.71MB
  389. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/008 Coding Task 2 - Perform Exploratory Data Analysis.mp486.44MB
  390. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/009 Practice Opportunity 2.mp418.79MB
  391. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/010 Coding Task 3 - Train Classification Model using AutoGluon.mp439.96MB
  392. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/011 Coding Task 4 - Evaluate Classification Model using AutoGluon.mp437.89MB
  393. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/012 Practice Opportunity 3.mp433.25MB
  394. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/013 Final Capstone Project Question.mp416.54MB
  395. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/014 Final Capstone Project Solution Part 1.mp477.29MB
  396. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/015 Final Capstone Project Solution Part 2.mp446.55MB
  397. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/016 Final Capstone Project Solution Part 3.mp418.93MB
  398. 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/017 Day End Message.mp42.55MB
  399. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/001 Day Welcome Message.mp47.1MB
  400. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/003 Project Overview.mp416.6MB
  401. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/004 Amazon SageMaker Autopilot.mp4125.46MB
  402. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/005 SageMaker Autopilot Demo 1 - Upload Data and Train Model.mp431.68MB
  403. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/006 SageMaker Autopilot Demo 2 - Analyze Trained Models.mp426.67MB
  404. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/007 SageMaker Autopilot Demo 3 - Candidate Notebooks & Model Deployment.mp480.36MB
  405. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/008 Resources Cleanup [Important].mp46.04MB
  406. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/009 Final Capstone Project Question.mp44.72MB
  407. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/010 Final Capstone Project Solution 1.mp462.45MB
  408. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/011 Final Capstone Project Solution 2.mp478.74MB
  409. 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/012 Day End Message.mp41.44MB
  410. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/001 Day Welcome Message.mp45.19MB
  411. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/003 Project Overview.mp433.61MB
  412. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/004 AWS SageMaker Canvas 101.mp442.65MB
  413. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/005 Success Stories in Human Resources.mp430.96MB
  414. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/006 Project Demo Part 1 - Upload data to S3 and Launch Canvas.mp435.53MB
  415. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/007 Project Demo Part 2 - Train the Model.mp426.57MB
  416. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/008 Project Demo Part 3 - Model Evaluation and Analysis.mp461.77MB
  417. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/009 Project Demo Part 4 - Generate Predictions.mp414.45MB
  418. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/010 Final End-of-Day Capstone Project Question.mp413.07MB
  419. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/011 Final End-of-Day Capstone Project Solution.mp442.11MB
  420. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/012 Shutting Down SageMaker Canvas [Important].mp41.99MB
  421. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/013 Appendix Review Classification Models KPIs.mp463.53MB
  422. 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/014 Day End Message.mp42.71MB
  423. 38 - Day 29 Lambda Functions Using AWS Console/001 Day Welcome Message.mp45.07MB
  424. 38 - Day 29 Lambda Functions Using AWS Console/003 Introduction to AWS Lambda and Key Learning Outcomes.mp415.54MB
  425. 38 - Day 29 Lambda Functions Using AWS Console/004 Machine Learning Workflows 101.mp480.85MB
  426. 38 - Day 29 Lambda Functions Using AWS Console/005 AWS Lambda Functions 101.mp496.44MB
  427. 38 - Day 29 Lambda Functions Using AWS Console/006 AWS Lambda Functions Anatomy.mp416.94MB
  428. 38 - Day 29 Lambda Functions Using AWS Console/007 Demo #1 Define and Test AWS Lambda Function.mp427.03MB
  429. 38 - Day 29 Lambda Functions Using AWS Console/008 Demo #2 Part #1 Define a Lambda Function.mp442.14MB
  430. 38 - Day 29 Lambda Functions Using AWS Console/009 Demo #2 Part #2 Test a Lambda Function.mp420.37MB
  431. 38 - Day 29 Lambda Functions Using AWS Console/010 Demo #2 Part #3 Monitor a Lambda Function.mp441.46MB
  432. 38 - Day 29 Lambda Functions Using AWS Console/011 Final Capstone Project Question.mp413.18MB
  433. 38 - Day 29 Lambda Functions Using AWS Console/012 Final Capstone Project Solution.mp464.74MB
  434. 38 - Day 29 Lambda Functions Using AWS Console/013 Day End Message.mp41.67MB
  435. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/001 Day Welcome Message.mp419.13MB
  436. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/003 Introduction and Key Learning Outcomes.mp414.76MB
  437. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/004 Synchronous Vs. Asynchronous Invocations.mp497.21MB
  438. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/005 Define a Lambda Function Using Boto3 SDK.mp4121.86MB
  439. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/006 Invoke a Lambda Function Using Boto3 SDK.mp4145.71MB
  440. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/007 Lambda Invocation with EventBridge.mp447.87MB
  441. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/008 Final Capstone Project Question.mp410.77MB
  442. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/009 Final Capstone Project Solution Part 1.mp471.59MB
  443. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/010 Final Capstone Project Solution Part 2.mp479.63MB
  444. 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/011 Day End Message.mp42.8MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载，或者bt下载软件里即可下载文件，或者直接复制迅雷链接到迅雷里下载！ 亲，你造吗？将网页分享给您的基友，下载的人越多速度越快哦！

违规内容投诉邮箱：[email protected]

概述 838888磁力搜索是一个磁力链接搜索引擎，是学术研究的副产品，用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络，实时的自动采集数据，仅存储文件的标题、大小、文件列表、文件标识符（磁力链接）等基础信息 838888磁力搜索不下载任何真实资源，无法判断资源的合法性及真实性，使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源，不提供Tracker服务，不提供种子文件的下载，这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统
838888磁力链接 磁力链接bt种子搜索引擎磁力搜索 DMCA