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[Tutorialsplanet.NET] Udemy - Machine Learning 101 with Scikit-learn and StatsModels

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视频 2021-4-18 19:10 2024-12-28 22:47 179 2.35 GB 75
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Tutorialsplanet NET Udemy - Machine Learning 101 with Scikit-learn and StatsModels

文件列表
  1. 1. Introduction/1. What Does the Course Cover.mp451.51MB
  2. 2. Setting Up The Working Environment/1. Setting Up the Environment - An Introduction (Do Not Skip, Please)!.mp45.27MB
  3. 2. Setting Up The Working Environment/2. Why Python and Why Jupyter.mp441.08MB
  4. 2. Setting Up The Working Environment/4. Installing Anaconda.mp434.95MB
  5. 2. Setting Up The Working Environment/5. The Jupyter Dashboard - Part 1.mp49.56MB
  6. 2. Setting Up The Working Environment/6. The Jupyter Dashboard - Part 2.mp421.23MB
  7. 2. Setting Up The Working Environment/9. Installing sklearn.mp47.85MB
  8. 3. Linear Regression with StatsModels/1. Introduction to Regression Analysis.mp414.68MB
  9. 3. Linear Regression with StatsModels/10. Simple Linear Regression in Python.mp441.81MB
  10. 3. Linear Regression with StatsModels/12. What is Seaborn.mp410.97MB
  11. 3. Linear Regression with StatsModels/13. What Does the StatsModels Summary Regression Table Tell us.mp440.96MB
  12. 3. Linear Regression with StatsModels/15. SST, SSR, and SSE.mp442.26MB
  13. 3. Linear Regression with StatsModels/17. The Ordinary Least Squares (OLS).mp426.01MB
  14. 3. Linear Regression with StatsModels/19. Goodness of Fit The R-Squared.mp436.96MB
  15. 3. Linear Regression with StatsModels/21. The Multiple Linear Regression Model.mp419.1MB
  16. 3. Linear Regression with StatsModels/23. Adjusted R-Squared.mp449.68MB
  17. 3. Linear Regression with StatsModels/26. F-Statistic and F-Test for a Linear Regression.mp415.06MB
  18. 3. Linear Regression with StatsModels/27. Assumptions of the OLS Framework.mp419.39MB
  19. 3. Linear Regression with StatsModels/29. A1 Linearity.mp412.05MB
  20. 3. Linear Regression with StatsModels/3. The Linear Regression Model.mp451.01MB
  21. 3. Linear Regression with StatsModels/31. A2 No Endogeneity.mp432.46MB
  22. 3. Linear Regression with StatsModels/33. A3 Normality and Homoscedasticity.mp439.99MB
  23. 3. Linear Regression with StatsModels/34. A4 No Autocorrelation.mp428.62MB
  24. 3. Linear Regression with StatsModels/36. A5 No Multicollinearity.mp426.58MB
  25. 3. Linear Regression with StatsModels/38. Dealing with Categorical Data.mp451.38MB
  26. 3. Linear Regression with StatsModels/40. Making Predictions.mp423.06MB
  27. 3. Linear Regression with StatsModels/5. Correlation vs Regression.mp412.72MB
  28. 3. Linear Regression with StatsModels/7. Geometrical Representation.mp44.92MB
  29. 3. Linear Regression with StatsModels/9. Python Packages Installation.mp436.84MB
  30. 4. Linear Regression with Sklearn/1. What is sklearn.mp427.26MB
  31. 4. Linear Regression with Sklearn/10. Feature Selection through p-values (F-regression).mp429.54MB
  32. 4. Linear Regression with Sklearn/12. Creating a Summary Table with the p-values.mp412.3MB
  33. 4. Linear Regression with Sklearn/14. Feature Scaling.mp439.06MB
  34. 4. Linear Regression with Sklearn/15. Feature Selection through Standardization.mp434.89MB
  35. 4. Linear Regression with Sklearn/16. Making Predictions with Standardized Coefficients.mp425.98MB
  36. 4. Linear Regression with Sklearn/18. Underfitting and Overfitting.mp416.96MB
  37. 4. Linear Regression with Sklearn/19. Training and Testing.mp449.16MB
  38. 4. Linear Regression with Sklearn/2. Game Plan for sklearn.mp419.38MB
  39. 4. Linear Regression with Sklearn/3. Simple Linear Regression with sklearn.mp434.77MB
  40. 4. Linear Regression with Sklearn/4. Simple Linear Regression with sklearn - Summary Table.mp432MB
  41. 4. Linear Regression with Sklearn/7. Multiple Linear Regression with sklearn.mp420.07MB
  42. 4. Linear Regression with Sklearn/8. Adjusted R-Squared.mp430.89MB
  43. 5. Linear Regression - Practical Example/1. Practical Example (Part 1).mp497.08MB
  44. 5. Linear Regression - Practical Example/2. Practical Example (Part 2).mp445.96MB
  45. 5. Linear Regression - Practical Example/4. Practical Example (Part 3).mp423.71MB
  46. 5. Linear Regression - Practical Example/6. Practical Example (Part 4).mp456.02MB
  47. 5. Linear Regression - Practical Example/8. Practical Example (Part 5).mp457.88MB
  48. 6. Logistic Regression/1. Introduction to Logistic Regression.mp423.44MB
  49. 6. Logistic Regression/10. Dummies in a Logistic Regression.mp435.57MB
  50. 6. Logistic Regression/12. Assessing the Accuracy of a Classification Model.mp429.53MB
  51. 6. Logistic Regression/14. Underfitting and Overfitting.mp420.38MB
  52. 6. Logistic Regression/15. Testing our Model and Bulding a Confusion Matrix.mp430.53MB
  53. 6. Logistic Regression/2. A Simple Example of a Logistic Regression in Python.mp432.13MB
  54. 6. Logistic Regression/3. What is the Difference Between a Logistic and a Logit Function.mp475.84MB
  55. 6. Logistic Regression/4. Your First Logistic Regression.mp415.96MB
  56. 6. Logistic Regression/6. A Coding Tip (optional).mp421.07MB
  57. 6. Logistic Regression/7. Going through the Regression Summary Table.mp427.81MB
  58. 6. Logistic Regression/9. Interpreting the Odds Ratio.mp428.91MB
  59. 7. Cluster Analysis/1. Introduction to Cluster Analysis.mp444.62MB
  60. 7. Cluster Analysis/10. The Elbow Method or How to Choose the Number of Clusters.mp440.33MB
  61. 7. Cluster Analysis/12. Pros and Cons of K-Means.mp432.64MB
  62. 7. Cluster Analysis/13. Standardization of Features when Clustering.mp426.83MB
  63. 7. Cluster Analysis/14. Cluster Analysis and Regression Analysis.mp49.19MB
  64. 7. Cluster Analysis/15. Practical Example Market Segmentation (Part 1).mp440.22MB
  65. 7. Cluster Analysis/16. Practical Example Market Segmentation (Part 2).mp450.81MB
  66. 7. Cluster Analysis/17. What Can be Done with Cluster Analysis.mp463.54MB
  67. 7. Cluster Analysis/2. Examples of Clustering.mp462.93MB
  68. 7. Cluster Analysis/3. Classification vs Clustering.mp430.39MB
  69. 7. Cluster Analysis/4. Math Concepts Needed to Proceed.mp413.46MB
  70. 7. Cluster Analysis/5. K-Means Clustering.mp424.97MB
  71. 7. Cluster Analysis/6. A Hands on Example of K-Means.mp448.64MB
  72. 7. Cluster Analysis/8. Categorical Data in Cluster Analysis.mp420.25MB
  73. 8. Cluster Analysis Additional Topics/1. Other Types of Clustering.mp437.11MB
  74. 8. Cluster Analysis Additional Topics/2. The Dendrogram.mp426.78MB
  75. 8. Cluster Analysis Additional Topics/3. Heatmaps.mp427.39MB
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