首页 磁力链接怎么用

[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass

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 2021-2-27 23:57 2024-6-26 10:28 143 6.35 GB 103
磁力链接
magnet:?xt=urn:btih:755ad0276149db0667bffc7b97f73ad3885d6afb
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOjc1NWFkMDI3NjE0OWRiMDY2N2JmZmM3Yjk3ZjczYWQzODg1ZDZhZmJaWg==
二维码链接
[FreeCourseSite.com] Udemy - 2021 Python for Machine Learning & Data Science Masterclass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

FreeCourseSite com Udemy - 2021 Python for Machine Learning & Data Science Masterclass

文件列表
  1. 1. Introduction to Course/2. COURSE OVERVIEW LECTURE - PLEASE DO NOT SKIP!.mp424.55MB
  2. 1. Introduction to Course/3. Anaconda Python and Jupyter Install and Setup.mp498.75MB
  3. 1. Introduction to Course/4. Environment Setup.mp449.32MB
  4. 10. Linear Regression/1. Introduction to Linear Regression Section.mp48.87MB
  5. 10. Linear Regression/10. Linear Regression - Residual Plots.mp459.52MB
  6. 10. Linear Regression/11. Linear Regression - Model Deployment and Coefficient Interpretation.mp488.19MB
  7. 10. Linear Regression/12. Polynomial Regression - Theory and Motivation.mp444.47MB
  8. 10. Linear Regression/13. Polynomial Regression - Creating Polynomial Features.mp452.62MB
  9. 10. Linear Regression/14. Polynomial Regression - Training and Evaluation.mp448.86MB
  10. 10. Linear Regression/15. Bias Variance Trade-Off.mp443.04MB
  11. 10. Linear Regression/16. Polynomial Regression - Choosing Degree of Polynomial.mp472.93MB
  12. 10. Linear Regression/17. Polynomial Regression - Model Deployment.mp428.94MB
  13. 10. Linear Regression/18. Regularization Overview.mp433.34MB
  14. 10. Linear Regression/19. Feature Scaling.mp453.97MB
  15. 10. Linear Regression/2. Linear Regression - Algorithm History.mp454.71MB
  16. 10. Linear Regression/20. Introduction to Cross Validation.mp462.59MB
  17. 10. Linear Regression/21. Regularization Data Setup.mp434.45MB
  18. 10. Linear Regression/22. L2 Regularization - Ridge Regression Theory.mp461.09MB
  19. 10. Linear Regression/23. L2 Regularization - Ridge Regression - Python Implementation.mp496.42MB
  20. 10. Linear Regression/24. L1 Regularization - Lasso Regression - Background and Implementation.mp4100MB
  21. 10. Linear Regression/25. L1 and L2 Regularization - Elastic Net.mp493.41MB
  22. 10. Linear Regression/26. Linear Regression Project - Data Overview.mp439.07MB
  23. 10. Linear Regression/3. Linear Regression - Understanding Ordinary Least Squares.mp486.26MB
  24. 10. Linear Regression/4. Linear Regression - Cost Functions.mp436.02MB
  25. 10. Linear Regression/5. Linear Regression - Gradient Descent.mp465.04MB
  26. 10. Linear Regression/6. Python coding Simple Linear Regression.mp491.92MB
  27. 10. Linear Regression/7. Overview of Scikit-Learn and Python.mp445.61MB
  28. 10. Linear Regression/8. Linear Regression - Scikit-Learn Train Test Split.mp482.93MB
  29. 10. Linear Regression/9. Linear Regression - Scikit-Learn Performance Evaluation - Regression.mp473.64MB
  30. 2. OPTIONAL Python Crash Course/2. Python Crash Course - Part One.mp429.52MB
  31. 2. OPTIONAL Python Crash Course/3. Python Crash Course - Part Two.mp422.25MB
  32. 2. OPTIONAL Python Crash Course/4. Python Crash Course - Part Three.mp423.17MB
  33. 2. OPTIONAL Python Crash Course/5. Python Crash Course - Exercise Questions.mp45MB
  34. 2. OPTIONAL Python Crash Course/6. Python Crash Course - Exercise Solutions.mp425.1MB
  35. 3. Machine Learning Pathway Overview/1. Machine Learning Pathway.mp440.55MB
  36. 4. NumPy/1. Introduction to NumPy.mp411.28MB
  37. 4. NumPy/2. NumPy Arrays.mp4109.63MB
  38. 4. NumPy/4. NumPy Indexing and Selection.mp446.35MB
  39. 4. NumPy/5. NumPy Operations.mp448.59MB
  40. 4. NumPy/6. NumPy Exercises.mp411.52MB
  41. 4. NumPy/7. Numpy Exercises - Solutions.mp448.56MB
  42. 5. Pandas/1. Introduction to Pandas.mp421.01MB
  43. 5. Pandas/10. Pandas - Useful Methods - Apply on Multiple Columns.mp498.55MB
  44. 5. Pandas/11. Pandas - Useful Methods - Statistical Information and Sorting.mp485.65MB
  45. 5. Pandas/12. Missing Data - Overview.mp453.18MB
  46. 5. Pandas/13. Missing Data - Pandas Operations.mp497.86MB
  47. 5. Pandas/14. GroupBy Operations - Part One.mp493.11MB
  48. 5. Pandas/15. GroupBy Operations - Part Two - MultiIndex.mp4105.86MB
  49. 5. Pandas/16. Combining DataFrames - Concatenation.mp450.51MB
  50. 5. Pandas/17. Combining DataFrames - Inner Merge.mp453.61MB
  51. 5. Pandas/18. Combining DataFrames - Left and Right Merge.mp427.9MB
  52. 5. Pandas/19. Combining DataFrames - Outer Merge.mp439.89MB
  53. 5. Pandas/2. Series - Part One.mp438.48MB
  54. 5. Pandas/20. Pandas - Text Methods for String Data.mp475.69MB
  55. 5. Pandas/21. Pandas - Time Methods for Date and Time Data.mp4101.92MB
  56. 5. Pandas/22. Pandas Input and Output - CSV Files.mp449.87MB
  57. 5. Pandas/23. Pandas Input and Output - HTML Tables.mp4106.65MB
  58. 5. Pandas/24. Pandas Input and Output - Excel Files.mp434.58MB
  59. 5. Pandas/25. Pandas Input and Output - SQL Databases.mp4103.19MB
  60. 5. Pandas/26. Pandas Pivot Tables.mp4128.74MB
  61. 5. Pandas/27. Pandas Project Exercise Overview.mp441.07MB
  62. 5. Pandas/28. Pandas Project Exercise Solutions.mp4181.59MB
  63. 5. Pandas/3. Series - Part Two.mp445.3MB
  64. 5. Pandas/4. DataFrames - Part One - Creating a DataFrame.mp4114.08MB
  65. 5. Pandas/5. DataFrames - Part Two - Basic Properties.mp453.91MB
  66. 5. Pandas/6. DataFrames - Part Three - Working with Columns.mp489.3MB
  67. 5. Pandas/7. DataFrames - Part Four - Working with Rows.mp496.71MB
  68. 5. Pandas/8. Pandas - Conditional Filtering.mp490.04MB
  69. 5. Pandas/9. Pandas - Useful Methods - Apply on Single Column.mp473.05MB
  70. 6. Matplotlib/1. Introduction to Matplotlib.mp421.57MB
  71. 6. Matplotlib/10. Matplotlib Exercise Questions Overview.mp450.77MB
  72. 6. Matplotlib/11. Matplotlib Exercise Questions - Solutions.mp4123.11MB
  73. 6. Matplotlib/2. Matplotlib Basics.mp453.61MB
  74. 6. Matplotlib/3. Matplotlib - Understanding the Figure Object.mp425.81MB
  75. 6. Matplotlib/4. Matplotlib - Implementing Figures and Axes.mp459.09MB
  76. 6. Matplotlib/5. Matplotlib - Figure Parameters.mp423.75MB
  77. 6. Matplotlib/6. Matplotlib - Subplots Functionality.mp496.18MB
  78. 6. Matplotlib/7. Matplotlib Styling - Legends.mp434.09MB
  79. 6. Matplotlib/8. Matplotlib Styling - Colors and Styles.mp481.19MB
  80. 6. Matplotlib/9. Advanced Matplotlib Commands (Optional).mp440.44MB
  81. 7. Seaborn Data Visualizations/1. Introduction to Seaborn.mp420.01MB
  82. 7. Seaborn Data Visualizations/10. Seaborn - Comparison Plots - Coding with Seaborn.mp470.16MB
  83. 7. Seaborn Data Visualizations/11. Seaborn Grid Plots.mp491.62MB
  84. 7. Seaborn Data Visualizations/12. Seaborn - Matrix Plots.mp471.25MB
  85. 7. Seaborn Data Visualizations/13. Seaborn Plot Exercises Overview.mp449.91MB
  86. 7. Seaborn Data Visualizations/14. Seaborn Plot Exercises Solutions.mp4110.6MB
  87. 7. Seaborn Data Visualizations/2. Scatterplots with Seaborn.mp4128.61MB
  88. 7. Seaborn Data Visualizations/3. Distribution Plots - Part One - Understanding Plot Types.mp432.05MB
  89. 7. Seaborn Data Visualizations/4. Distribution Plots - Part Two - Coding with Seaborn.mp477.74MB
  90. 7. Seaborn Data Visualizations/5. Categorical Plots - Statistics within Categories - Understanding Plot Types.mp421.86MB
  91. 7. Seaborn Data Visualizations/6. Categorical Plots - Statistics within Categories - Coding with Seaborn.mp455MB
  92. 7. Seaborn Data Visualizations/7. Categorical Plots - Distributions within Categories - Understanding Plot Types.mp461.09MB
  93. 7. Seaborn Data Visualizations/8. Categorical Plots - Distributions within Categories - Coding with Seaborn.mp4111.24MB
  94. 7. Seaborn Data Visualizations/9. Seaborn - Comparison Plots - Understanding the Plot Types.mp423.35MB
  95. 8. Data Analysis and Visualization Capstone Project Exercise/1. Capstone Project Overview.mp493.2MB
  96. 8. Data Analysis and Visualization Capstone Project Exercise/2. Capstone Project Solutions - Part One.mp4116.95MB
  97. 8. Data Analysis and Visualization Capstone Project Exercise/3. Capstone Project Solutions - Part Two.mp4111.05MB
  98. 8. Data Analysis and Visualization Capstone Project Exercise/4. Capstone Project Solutions - Part Three.mp4143.96MB
  99. 9. Machine Learning Concepts Overview/1. Introduction to Machine Learning Overview Section.mp429.73MB
  100. 9. Machine Learning Concepts Overview/2. Why Machine Learning.mp444.77MB
  101. 9. Machine Learning Concepts Overview/3. Types of Machine Learning Algorithms.mp438.68MB
  102. 9. Machine Learning Concepts Overview/4. Supervised Machine Learning Process.mp471.41MB
  103. 9. Machine Learning Concepts Overview/5. Companion Book - Introduction to Statistical Learning.mp419.29MB
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