Details for:

Type:
Files:
Size:

Uploaded On:
Added By:
Trusted

Seeders:
Leechers:
Info Hash:
4E377E44E4C0EABA44EAFBB65679D5B9DC348C8D
  1. 01 Introduction/001 Welcome to the Course!.en.srt 17.6 KB
  2. 01 Introduction/001 Welcome to the Course!.mp4 128.5 MB
  3. 01 Introduction/002 Course Materials.html 1.3 KB
  4. 01 Introduction/external-assets-links.txt 231 bytes
  5. 02 Setting up Environment - R and R Studio/001 Installing R.en.srt 8.9 KB
  6. 02 Setting up Environment - R and R Studio/001 Installing R.mp4 74.2 MB
  7. 02 Setting up Environment - R and R Studio/002 Installing R Studio.en.srt 10.8 KB
  8. 02 Setting up Environment - R and R Studio/002 Installing R Studio.mp4 90.0 MB
  9. 02 Setting up Environment - R and R Studio/external-assets-links.txt 120 bytes
  10. 03 Installing Libraries/001 Installing Libraries.en.srt 14.0 KB
  11. 03 Installing Libraries/001 Installing Libraries.mp4 140.7 MB
  12. 03 Installing Libraries/002 Loading Libraries.en.srt 2.8 KB
  13. 03 Installing Libraries/002 Loading Libraries.mp4 27.1 MB
  14. 03 Installing Libraries/003 Let's start!.en.srt 995 bytes
  15. 03 Installing Libraries/003 Let's start!.mp4 6.9 MB
  16. 04 Manipulating Data with Dplyr/001 Intro to Dplyr and Tibble Data Structure.en.srt 7.8 KB
  17. 04 Manipulating Data with Dplyr/001 Intro to Dplyr and Tibble Data Structure.mp4 38.8 MB
  18. 04 Manipulating Data with Dplyr/002 Filter and Pipe Format.en.srt 9.0 KB
  19. 04 Manipulating Data with Dplyr/002 Filter and Pipe Format.mp4 51.6 MB
  20. 04 Manipulating Data with Dplyr/003 Glimpse and Lists as Columns.en.srt 4.6 KB
  21. 04 Manipulating Data with Dplyr/003 Glimpse and Lists as Columns.mp4 33.0 MB
  22. 04 Manipulating Data with Dplyr/004 Function Encapsulation and Multiple Arguments.en.srt 4.4 KB
  23. 04 Manipulating Data with Dplyr/004 Function Encapsulation and Multiple Arguments.mp4 27.7 MB
  24. 04 Manipulating Data with Dplyr/005 Arrange and Mutate.en.srt 10.0 KB
  25. 04 Manipulating Data with Dplyr/005 Arrange and Mutate.mp4 74.8 MB
  26. 04 Manipulating Data with Dplyr/006 Select and Distinct.en.srt 6.3 KB
  27. 04 Manipulating Data with Dplyr/006 Select and Distinct.mp4 37.0 MB
  28. 04 Manipulating Data with Dplyr/007 Sample_N and Sample_Frac.en.srt 4.2 KB
  29. 04 Manipulating Data with Dplyr/007 Sample_N and Sample_Frac.mp4 30.4 MB
  30. 04 Manipulating Data with Dplyr/008 Summarize and Group By.en.srt 4.4 KB
  31. 04 Manipulating Data with Dplyr/008 Summarize and Group By.mp4 29.8 MB
  32. 04 Manipulating Data with Dplyr/009 Joining Dataframes.en.srt 8.8 KB
  33. 04 Manipulating Data with Dplyr/009 Joining Dataframes.mp4 61.7 MB
  34. 04 Manipulating Data with Dplyr/010 Small Typo.html 1.1 KB
  35. 04 Manipulating Data with Dplyr/GetFreeCourses.Co.url 116 bytes
  36. 04 Manipulating Data with Dplyr/How you can help GetFreeCourses.Co.txt 182 bytes
  37. 05 Linear Regression/001 Linear Regression - Introduction.en.srt 1.8 KB
  38. 05 Linear Regression/001 Linear Regression - Introduction.mp4 12.8 MB
  39. 05 Linear Regression/002 Loading the Data into R.en.srt 5.7 KB
  40. 05 Linear Regression/002 Loading the Data into R.mp4 33.0 MB
  41. 05 Linear Regression/003 Plotting Feature (Age) and Target (Income) Variables.en.srt 5.6 KB
  42. 05 Linear Regression/003 Plotting Feature (Age) and Target (Income) Variables.mp4 34.3 MB
  43. 05 Linear Regression/004 Fitting a Random Line.en.srt 6.7 KB
  44. 05 Linear Regression/004 Fitting a Random Line.mp4 39.6 MB
  45. 05 Linear Regression/005 Adjusting the Weight of our Linear Model.en.srt 4.9 KB
  46. 05 Linear Regression/005 Adjusting the Weight of our Linear Model.mp4 29.8 MB
  47. 05 Linear Regression/006 Training our First Linear Model.en.srt 6.8 KB
  48. 05 Linear Regression/006 Training our First Linear Model.mp4 40.1 MB
  49. 05 Linear Regression/007 Linear Regression Evaluation.en.srt 18.0 KB
  50. 05 Linear Regression/007 Linear Regression Evaluation.mp4 108.6 MB
  51. 05 Linear Regression/008 Linear Regression Closed Form Solution.en.srt 17.4 KB
  52. 05 Linear Regression/008 Linear Regression Closed Form Solution.mp4 82.0 MB
  53. 05 Linear Regression/009 Gradient Descent Intuition - Part 1.en.srt 20.7 KB
  54. 05 Linear Regression/009 Gradient Descent Intuition - Part 1.mp4 130.8 MB
  55. 05 Linear Regression/010 Gradient Descent Intuition - Part 2.en.srt 12.7 KB
  56. 05 Linear Regression/010 Gradient Descent Intuition - Part 2.mp4 84.2 MB
  57. 05 Linear Regression/011 Visualizing Gradient Descent.en.srt 12.6 KB
  58. 05 Linear Regression/011 Visualizing Gradient Descent.mp4 70.9 MB
  59. 05 Linear Regression/012 Multivariate Linear Regression.en.srt 19.4 KB
  60. 05 Linear Regression/012 Multivariate Linear Regression.mp4 109.5 MB
  61. 06 Classification Problems and Logistic Regression/001 Classification Problems - Introduction.en.srt 2.7 KB
  62. 06 Classification Problems and Logistic Regression/001 Classification Problems - Introduction.mp4 10.1 MB
  63. 06 Classification Problems and Logistic Regression/002 Classification Problems Intuition - Why Linear Regression is unfit.en.srt 15.6 KB
  64. 06 Classification Problems and Logistic Regression/002 Classification Problems Intuition - Why Linear Regression is unfit.mp4 81.8 MB
  65. 06 Classification Problems and Logistic Regression/003 Calculating Sigmoid Function and Fitting a Logistic Regression.en.srt 10.0 KB
  66. 06 Classification Problems and Logistic Regression/003 Calculating Sigmoid Function and Fitting a Logistic Regression.mp4 56.3 MB
  67. 06 Classification Problems and Logistic Regression/004 Summary of Logistic Regression and Accuracy.en.srt 11.0 KB
  68. 06 Classification Problems and Logistic Regression/004 Summary of Logistic Regression and Accuracy.mp4 69.3 MB
  69. 06 Classification Problems and Logistic Regression/005 Log-Loss Function Intuition.en.srt 19.4 KB
  70. 06 Classification Problems and Logistic Regression/005 Log-Loss Function Intuition.mp4 93.9 MB
  71. 06 Classification Problems and Logistic Regression/006 Gradient Descent Intuition - Classification.en.srt 12.5 KB
  72. 06 Classification Problems and Logistic Regression/006 Gradient Descent Intuition - Classification.mp4 74.5 MB
  73. 06 Classification Problems and Logistic Regression/007 Visualizing Log-Loss in 3 Dimensions.en.srt 13.3 KB
  74. 06 Classification Problems and Logistic Regression/007 Visualizing Log-Loss in 3 Dimensions.mp4 79.7 MB
  75. 07 Model Evaluation and Selection/001 Model Evaluation and Selection - Introduction.en.srt 3.1 KB
  76. 07 Model Evaluation and Selection/001 Model Evaluation and Selection - Introduction.mp4 7.8 MB
  77. 07 Model Evaluation and Selection/002 Example of a High Bias Model.en.srt 15.2 KB
  78. 07 Model Evaluation and Selection/002 Example of a High Bias Model.mp4 88.8 MB
  79. 07 Model Evaluation and Selection/003 Example of a High Variance Model.en.srt 18.9 KB
  80. 07 Model Evaluation and Selection/003 Example of a High Variance Model.mp4 132.2 MB
  81. 07 Model Evaluation and Selection/004 Evaluating the Model on Unseen Data.en.srt 19.6 KB
  82. 07 Model Evaluation and Selection/004 Evaluating the Model on Unseen Data.mp4 134.3 MB
  83. 07 Model Evaluation and Selection/005 Randomized Train and Test Split.en.srt 16.8 KB
  84. 07 Model Evaluation and Selection/005 Randomized Train and Test Split.mp4 73.2 MB
  85. 07 Model Evaluation and Selection/006 Performance across Training and Test Data.en.srt 20.8 KB
  86. 07 Model Evaluation and Selection/006 Performance across Training and Test Data.mp4 127.7 MB
  87. 07 Model Evaluation and Selection/007 Regression Metrics - Plotting the Residuals.en.srt 17.9 KB
  88. 07 Model Evaluation and Selection/007 Regression Metrics - Plotting the Residuals.mp4 104.4 MB
  89. 07 Model Evaluation and Selection/008 Regression Metrics - MSE, MAE and RMSE.en.srt 10.1 KB
  90. 07 Model Evaluation and Selection/008 Regression Metrics - MSE, MAE and RMSE.mp4 61.3 MB
  91. 07 Model Evaluation and Selection/009 Regression Metrics - R-Square Breakdown and MAPE.en.srt 10.6 KB
  92. 07 Model Evaluation and Selection/009 Regression Metrics - R-Square Breakdown and MAPE.mp4 61.9 MB
  93. 07 Model Evaluation and Selection/010 Classification Metrics - Fitting Logistic Regression and Confusion Matrix Intro.en.srt 16.6 KB
  94. 07 Model Evaluation and Selection/010 Classification Metrics - Fitting Logistic Regression and Confusion Matrix Intro.mp4 90.3 MB
  95. 07 Model Evaluation and Selection/011 Classification Metrics - TP, FP, TN, FN.en.srt 4.8 KB
  96. 07 Model Evaluation and Selection/011 Classification Metrics - TP, FP, TN, FN.mp4 27.9 MB
  97. 07 Model Evaluation and Selection/012 Classification Metrics - Precision, Recall and F-Score.en.srt 8.2 KB
  98. 07 Model Evaluation and Selection/012 Classification Metrics - Precision, Recall and F-Score.mp4 40.7 MB
  99. 07 Model Evaluation and Selection/013 Classification Metrics - Building ROC Curve.en.srt 14.3 KB
  100. 07 Model Evaluation and Selection/013 Classification Metrics - Building ROC Curve.mp4 83.0 MB
  101. 07 Model Evaluation and Selection/014 Classification Metrics - ROCR Package and Area Under the Curve.en.srt 9.1 KB
  102. 07 Model Evaluation and Selection/014 Classification Metrics - ROCR Package and Area Under the Curve.mp4 45.7 MB
  103. 08 Tree Based Models - Decision Trees/001 Classification Trees - Problem Evaluation and Fitting a Logistic Regression.en.srt 12.5 KB
  104. 08 Tree Based Models - Decision Trees/001 Classification Trees - Problem Evaluation and Fitting a Logistic Regression.mp4 69.3 MB
  105. 08 Tree Based Models - Decision Trees/002 Classification Trees - First Split and Gini Impurity Concept.en.srt 18.2 KB
  106. 08 Tree Based Models - Decision Trees/002 Classification Trees - First Split and Gini Impurity Concept.mp4 112.5 MB
  107. 08 Tree Based Models - Decision Trees/003 Classification Trees - Finding the Best Split with Minimum Gini Impurity.en.srt 11.6 KB
  108. 08 Tree Based Models - Decision Trees/003 Classification Trees - Finding the Best Split with Minimum Gini Impurity.mp4 82.8 MB
  109. 08 Tree Based Models - Decision Trees/004 Classification Trees - Fitting a Decision Tree using RPart.en.srt 7.5 KB
  110. 08 Tree Based Models - Decision Trees/004 Classification Trees - Fitting a Decision Tree using RPart.mp4 43.4 MB
  111. 08 Tree Based Models - Decision Trees/005 Classification Trees - Adding more Thresholds and Visualizing Classification.en.srt 8.0 KB
  112. 08 Tree Based Models - Decision Trees/005 Classification Trees - Adding more Thresholds and Visualizing Classification.mp4 45.4 MB
  113. 08 Tree Based Models - Decision Trees/006 Classification Trees - Tweaking Hyperparameters and Checking Accuracy.en.srt 6.1 KB
  114. 08 Tree Based Models - Decision Trees/006 Classification Trees - Tweaking Hyperparameters and Checking Accuracy.mp4 36.2 MB
  115. 08 Tree Based Models - Decision Trees/007 Regression Trees - Intuition.en.srt 15.5 KB
  116. 08 Tree Based Models - Decision Trees/007 Regression Trees - Intuition.mp4 84.8 MB
  117. 08 Tree Based Models - Decision Trees/008 Regression Trees - Calculating Residual Sum of Squares.en.srt 6.3 KB
  118. 08 Tree Based Models - Decision Trees/008 Regression Trees - Calculating Residual Sum of Squares.mp4 38.5 MB
  119. 08 Tree Based Models - Decision Trees/009 Regression Trees - Finding the Best Split with Residual Sum of Squares.en.srt 7.9 KB
  120. 08 Tree Based Models - Decision Trees/009 Regression Trees - Finding the Best Split with Residual Sum of Squares.mp4 55.0 MB
  121. 08 Tree Based Models - Decision Trees/010 Regression Trees - Fitting the Algorithm.en.srt 8.5 KB
  122. 08 Tree Based Models - Decision Trees/010 Regression Trees - Fitting the Algorithm.mp4 52.1 MB
  123. 08 Tree Based Models - Decision Trees/011 Regression Trees - Comparing between Tree and Linear Model.en.srt 17.6 KB
  124. 08 Tree Based Models - Decision Trees/011 Regression Trees - Comparing between Tree and Linear Model.mp4 119.7 MB
  125. 09 Tree Based Models - Random Forests/001 Random Forest Intuition and Subsetting Data.en.srt 10.4 KB
  126. 09 Tree Based Models - Random Forests/001 Random Forest Intuition and Subsetting Data.mp4 49.3 MB
  127. 09 Tree Based Models - Random Forests/002 Fitting Different Decision Trees.en.srt 12.8 KB
  128. 09 Tree Based Models - Random Forests/002 Fitting Different Decision Trees.mp4 85.9 MB
  129. 09 Tree Based Models - Random Forests/003 Building a Random Forest from Scratch with Three Estimators.en.srt 10.9 KB
  130. 09 Tree Based Models - Random Forests/003 Building a Random Forest from Scratch with Three Estimators.mp4 73.8 MB
  131. 09 Tree Based Models - Random Forests/004 Measuring the Accuracy of Each Trees and of the Ensemble Average.en.srt 4.7 KB
  132. 09 Tree Based Models - Random Forests/004 Measuring the Accuracy of Each Trees and of the Ensemble Average.mp4 35.6 MB
  133. 09 Tree Based Models - Random Forests/005 Random Forest - R Package Implementation.en.srt 8.4 KB
  134. 09 Tree Based Models - Random Forests/005 Random Forest - R Package Implementation.mp4 48.2 MB
  135. 10 Data Science Project - Kaggle Taxi Trip Duration/001 Data Science Project - Taxi Trip Duration Project - Introduction.en.srt 5.6 KB
  136. 10 Data Science Project - Kaggle Taxi Trip Duration/001 Data Science Project - Taxi Trip Duration Project - Introduction.mp4 21.1 MB
  137. 10 Data Science Project - Kaggle Taxi Trip Duration/002 Exploratory Data Analysis - Loading Taxi Trip and Analyzing Outliers.en.srt 12.0 KB
  138. 10 Data Science Project - Kaggle Taxi Trip Duration/002 Exploratory Data Analysis - Loading Taxi Trip and Analyzing Outliers.mp4 68.8 MB
  139. 10 Data Science Project - Kaggle Taxi Trip Duration/003 Exploratory Data Analysis - Removing Outliers.en.srt 15.5 KB
  140. 10 Data Science Project - Kaggle Taxi Trip Duration/003 Exploratory Data Analysis - Removing Outliers.mp4 106.4 MB
  141. 10 Data Science Project - Kaggle Taxi Trip Duration/004 Feature Engineering - Time Based Features.en.srt 15.7 KB
  142. 10 Data Science Project - Kaggle Taxi Trip Duration/004 Feature Engineering - Time Based Features.mp4 89.2 MB
  143. 10 Data Science Project - Kaggle Taxi Trip Duration/005 Feature Engineering - Visualizing Trip Duration per Feature.en.srt 8.7 KB
  144. 10 Data Science Project - Kaggle Taxi Trip Duration/005 Feature Engineering - Visualizing Trip Duration per Feature.mp4 62.5 MB
  145. 10 Data Science Project - Kaggle Taxi Trip Duration/006 Feature Engineering - Building Location Based Features (Manhattan and Euclidean).en.srt 12.7 KB
  146. 10 Data Science Project - Kaggle Taxi Trip Duration/006 Feature Engineering - Building Location Based Features (Manhattan and Euclidean).mp4 89.1 MB
  147. 10 Data Science Project - Kaggle Taxi Trip Duration/007 Feature Engineering - Visualizing Correlation and Adding Features to our table.en.srt 15.5 KB
  148. 10 Data Science Project - Kaggle Taxi Trip Duration/007 Feature Engineering - Visualizing Correlation and Adding Features to our table.mp4 111.3 MB
  149. 10 Data Science Project - Kaggle Taxi Trip Duration/008 Feature Engineering - Creating Weekday feature and Building Data Pipeline.en.srt 16.7 KB
  150. 10 Data Science Project - Kaggle Taxi Trip Duration/008 Feature Engineering - Creating Weekday feature and Building Data Pipeline.mp4 108.2 MB
  151. 10 Data Science Project - Kaggle Taxi Trip Duration/009 Modelling - Preparing Data for Modelling.en.srt 14.2 KB
  152. 10 Data Science Project - Kaggle Taxi Trip Duration/009 Modelling - Preparing Data for Modelling.mp4 89.2 MB
  153. 10 Data Science Project - Kaggle Taxi Trip Duration/010 Modelling - Fitting Linear Regression.en.srt 10.3 KB
  154. 10 Data Science Project - Kaggle Taxi Trip Duration/010 Modelling - Fitting Linear Regression.mp4 69.4 MB
  155. 10 Data Science Project - Kaggle Taxi Trip Duration/011 Modelling - Training a Random Forest.en.srt 18.4 KB
  156. 10 Data Science Project - Kaggle Taxi Trip Duration/011 Modelling - Training a Random Forest.mp4 112.6 MB
  157. 10 Data Science Project - Kaggle Taxi Trip Duration/012 Modelling - Caret Implementation and API.en.srt 9.2 KB
  158. 10 Data Science Project - Kaggle Taxi Trip Duration/012 Modelling - Caret Implementation and API.mp4 60.1 MB
  159. 10 Data Science Project - Kaggle Taxi Trip Duration/013 Modelling - Building Custom Experiments _ Hyperparameter Tuning.en.srt 8.0 KB
  160. 10 Data Science Project - Kaggle Taxi Trip Duration/013 Modelling - Building Custom Experiments _ Hyperparameter Tuning.mp4 56.9 MB
  161. 10 Data Science Project - Kaggle Taxi Trip Duration/014 Modelling - Evaluating Best Model.en.srt 6.7 KB
  162. 10 Data Science Project - Kaggle Taxi Trip Duration/014 Modelling - Evaluating Best Model.mp4 49.2 MB
  163. 10 Data Science Project - Kaggle Taxi Trip Duration/015 Evaluating - Preparing New Data for Scoring.en.srt 23.7 KB
  164. 10 Data Science Project - Kaggle Taxi Trip Duration/015 Evaluating - Preparing New Data for Scoring.mp4 141.5 MB
  165. 10 Data Science Project - Kaggle Taxi Trip Duration/016 Evaluating - Scoring New Data and Submitting do Kaggle.en.srt 9.8 KB
  166. 10 Data Science Project - Kaggle Taxi Trip Duration/016 Evaluating - Scoring New Data and Submitting do Kaggle.mp4 61.7 MB
  167. 10 Data Science Project - Kaggle Taxi Trip Duration/GetFreeCourses.Co.url 116 bytes
  168. 10 Data Science Project - Kaggle Taxi Trip Duration/How you can help GetFreeCourses.Co.txt 182 bytes
  169. 11 Thank you!/001 Bonus Lecture - Other Courses.html 1.7 KB
  170. 11 Thank you!/002 Detailed Feedback.html 1.2 KB
  171. 11 Thank you!/003 Final Notes.en.srt 1.9 KB
  172. 11 Thank you!/003 Final Notes.mp4 13.8 MB
  173. Download Paid Udemy Courses For Free.url 116 bytes
  174. GetFreeCourses.Co.url 116 bytes
  175. How you can help GetFreeCourses.Co.txt 182 bytes

Similar Posts:

  2. E-books Gerbing D. R Data Analysis Without Programming...2ed 2023 Jan. 28, 2023, 2:22 p.m.
  3. E-books Gursakal N. Synthetic Data for Deep Learning...App with Python and R 2022 Jan. 28, 2023, 2:32 p.m.
  4. E-books Damper R. Data-Driven Techniques in Speech Synthesis 1995 Jan. 28, 2023, 3:34 p.m.
  5. E-books Bhattacharjee A. Big Data Analytics in Oncology with R 2022 Jan. 28, 2023, 3:43 p.m.
  6. E-books Mailund T. R 4 Data Science Quick Reference. A Pocket Guide to APIs,...2ed 2019 Jan. 28, 2023, 4:35 p.m.