589689.xyz

365 Data Science - Advanced Statistical Methods in Python [CoursesGhar]

  • 收录时间:2022-03-28 13:51:13
  • 文件大小:2GB
  • 下载次数:1
  • 最近下载:2022-03-28 13:51:13
  • 磁力链接:
立即下载 复制链接

文件列表

  1. 4. Linear Regression - Practical Example/1. Practical Example (Part 1).mp4 85MB
  2. 7. K-Means Clustering/10. How is Clustering Useful.mp4 69MB
  3. 6. Cluster Analysis (Basics and Prerequisites)/2. Some Examples of Clusters.mp4 66MB
  4. 3. Linear Regression with sklearn/1. What is sklearn.mp4 58MB
  5. 5. Logistic Regression/3. Logistic vs Logit Function.mp4 56MB
  6. 4. Linear Regression - Practical Example/5. Practical Example (Part 5).mp4 54MB
  7. 1. Linear regression/3. The Linear Regression Model.mp4 49MB
  8. 7. K-Means Clustering/9. Market Segmentation with Cluster Analysis (Part 2).mp4 47MB
  9. 4. Linear Regression - Practical Example/4. Practical Example (Part 4).mp4 43MB
  10. 2. Multiple Linear Regression/10. Dealing with Categorical Data - Dummy Variables.mp4 43MB
  11. 7. K-Means Clustering/4. How to Choose the Number of Clusters.mp4 41MB
  12. 7. K-Means Clustering/2. A Simple Example of Clustering.mp4 40MB
  13. 1. Linear regression/12. R-Squared.mp4 39MB
  14. 2. Multiple Linear Regression/2. Adjusted R-Squared.mp4 38MB
  15. 8. Other Types of Clustering/2. Dendrogram.mp4 36MB
  16. 4. Linear Regression - Practical Example/2. Practical Example (Part 2).mp4 36MB
  17. 7. K-Means Clustering/6. To Standardize or to not Standardize.mp4 36MB
  18. 3. Linear Regression with sklearn/13. Training and Testing.mp4 36MB
  19. 6. Cluster Analysis (Basics and Prerequisites)/1. Introduction to Cluster Analysis.mp4 35MB
  20. 1. Linear regression/1. Welcome to Advanced Statistics!.mp4 35MB
  21. 8. Other Types of Clustering/1. Types of Clustering.mp4 34MB
  22. 3. Linear Regression with sklearn/9. Feature Scaling.mp4 34MB
  23. 1. Linear regression/7. First Regression in Python.mp4 33MB
  24. 7. K-Means Clustering/5. Pros and Cons of K-Means Clustering.mp4 32MB
  25. 1. Linear regression/9. How to Interpret the Regression Table.mp4 32MB
  26. 7. K-Means Clustering/8. Market Segmentation with Cluster Analysis (Part 1).mp4 32MB
  27. 2. Multiple Linear Regression/7. A3 - Normality and Homoscedasticity.mp4 31MB
  28. 3. Linear Regression with sklearn/10. Feature Selection through Standardization.mp4 31MB
  29. 7. K-Means Clustering/1. K-Means Clustering.mp4 30MB
  30. 3. Linear Regression with sklearn/3. Simple Linear Regression with sklearn.mp4 30MB
  31. 2. Multiple Linear Regression/6. A2 - No Endogeneity.mp4 30MB
  32. 2. Multiple Linear Regression/8. A4 - No Autocorrelation.mp4 29MB
  33. 1. Linear regression/10. Decomposition of Variability.mp4 29MB
  34. 8. Other Types of Clustering/3. Heatmaps.mp4 28MB
  35. 5. Logistic Regression/2. A Simple Example in Python.mp4 28MB
  36. 6. Cluster Analysis (Basics and Prerequisites)/3. Difference between Classification and Clustering.mp4 27MB
  37. 3. Linear Regression with sklearn/7. Feature Selection through p-values (F-regression).mp4 26MB
  38. 5. Logistic Regression/11. Testing the Model.mp4 25MB
  39. 3. Linear Regression with sklearn/4. Simple Linear Regression with sklearn - Summary Table.mp4 25MB
  40. 5. Logistic Regression/8. Binary Predictors in a Logistic Regression.mp4 25MB
  41. 5. Logistic Regression/10. Underfitting and Overfitting.mp4 25MB
  42. 2. Multiple Linear Regression/1. Multiple Linear Regression.mp4 24MB
  43. 3. Linear Regression with sklearn/6. Adjusted R-Squared.mp4 23MB
  44. 5. Logistic Regression/9. Calculating the Accuracy of the Model.mp4 23MB
  45. 5. Logistic Regression/5. An Invaluable Coding Tip.mp4 23MB
  46. 1. Linear regression/11. What is the OLS.mp4 23MB
  47. 2. Multiple Linear Regression/9. A5 - No Multicollinearity.mp4 23MB
  48. 5. Logistic Regression/7. What do the Odds Actually Mean.mp4 22MB
  49. 5. Logistic Regression/6. Understanding Logistic Regression Tables.mp4 21MB
  50. 4. Linear Regression - Practical Example/3. Practical Example (Part 3).mp4 21MB
  51. 5. Logistic Regression/1. Introduction to Logistic Regression.mp4 20MB
  52. 3. Linear Regression with sklearn/11. Making Predictions with Standardized Coefficients.mp4 20MB
  53. 3. Linear Regression with sklearn/12. Underfitting and Overfitting.mp4 18MB
  54. 3. Linear Regression with sklearn/2. Game Plan for sklearn.mp4 18MB
  55. 6. Cluster Analysis (Basics and Prerequisites)/4. Math Prerequisites.mp4 18MB
  56. 2. Multiple Linear Regression/11. Making Predictions with the Linear Regression.mp4 18MB
  57. 7. K-Means Clustering/3. Clustering Categorical Data.mp4 16MB
  58. 2. Multiple Linear Regression/4. OLS Assumptions.mp4 16MB
  59. 1. Linear regression/2. Introduction to Regression Analysis.mp4 15MB
  60. 3. Linear Regression with sklearn/5. Multiple Linear Regression with sklearn.mp4 15MB
  61. 1. Linear regression/6. Python Packages Installation.mp4 14MB
  62. 5. Logistic Regression/4. Building a Logistic Regression.mp4 13MB
  63. 1. Linear regression/4. Correlation vs Regression.mp4 12MB
  64. 2. Multiple Linear Regression/3. Test for Significance of the Model (F-Test).mp4 11MB
  65. 1. Linear regression/8. Using Seaborn for Graphs.mp4 11MB
  66. 2. Multiple Linear Regression/5. A1 - Linearity.mp4 11MB
  67. 7. K-Means Clustering/7. Relationship between Clustering and Regression.mp4 10MB
  68. 3. Linear Regression with sklearn/8. Creating a Summary Table with the p-values.mp4 10MB
  69. 1. Linear regression/5. Geometrical Representation of the Linear Regression Model.mp4 6MB
  70. Uploaded by [Coursesghar.com].txt 1KB
  71. !! IMPORTANT Note !!.txt 298B
  72. !!! Please Support !!! [CoursesGhar.Com].txt 197B
  73. Join Our Telegram Group For More Updates !!!.url 138B
  74. 00. Websites You May Like/A1movies.com.pk.url 116B
  75. 00. Websites You May Like/CoursesGhar.com.url 114B
  76. Visit coursesghar.com for more awesome tutorials.url 114B