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1. Gathering Business Knowledge.mp4
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25.1 MB
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1. Gathering Business Knowledge.srt
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1. Installing Python and Anaconda.mp4
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18.6 MB
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1. Installing Python and Anaconda.srt
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1. Introduction to Machine Learning.mp4
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123.9 MB
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1. Introduction to Machine Learning.srt
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1. The Problem Statement.mp4
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10.7 MB
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1. The Problem Statement.srt
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1. The final milestone!.mp4
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11.9 MB
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1. The final milestone!.srt
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1. Types of Data.mp4
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21.8 MB
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1. Types of Data.srt
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5 KB
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1. Welcome to the course!.mp4
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16.3 MB
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1. Welcome to the course!.srt
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1.1 01_01_Lecture_TypesOfData.pdf
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177.7 KB
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1.1 03_01_PDE_Business_knowledge.pdf
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PDF
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153.9 KB
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1.1 05_01_Intro.pdf
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PDF
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239.3 KB
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1.1 Lecture_machineLearning.pdf
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PDF
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991.6 KB
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10. Interpreting results of Categorical variables.mp4
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27.1 MB
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10. Interpreting results of Categorical variables.srt
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10. Outlier Treatment in Python.mp4
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86.6 MB
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10. Outlier Treatment in Python.srt
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12.7 KB
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10.1 05_06_Cat_var.pdf
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155.5 KB
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11. Multiple Linear Regression in Python.mp4
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MP4
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88.1 MB
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11. Multiple Linear Regression in Python.srt
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12.8 KB
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11. Project Exercise 3.html
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12. Missing Value Imputation.mp4
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27.6 MB
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12. Missing Value Imputation.srt
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4.1 KB
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12. Quiz.html
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12.1 04_05_PDE_Missing_value.pdf
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315.7 KB
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13. Missing Value Imputation in Python.mp4
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MP4
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28.6 MB
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13. Missing Value Imputation in Python.srt
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4.1 KB
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13. Project Exercise 9.html
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307.2 B
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14. Project Exercise 4.html
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204.8 B
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14. Test-train split.mp4
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49.1 MB
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14. Test-train split.srt
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14.1 05_12_Test_Train.pdf
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238.8 KB
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15. Bias Variance trade-off.mp4
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29.6 MB
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15. Bias Variance trade-off.srt
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15. Seasonality in Data.mp4
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20.9 MB
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15. Seasonality in Data.srt
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3.8 KB
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15.1 04_07_PDE_Seasonality.pdf
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364.1 KB
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15.1 05_13_Bias_Var_tradeoff.pdf
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212.4 KB
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16. Bi-variate analysis and Variable transformation.mp4
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113.7 MB
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16. Bi-variate analysis and Variable transformation.srt
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18.5 KB
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16. More about test-train split.html
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512 B
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16.1 04_07_Variable_Transformation.pdf
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PDF
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422.8 KB
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17. Test train split in Python.mp4
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MP4
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57.8 MB
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17. Test train split in Python.srt
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17. Variable transformation and deletion in Python.mp4
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MP4
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53.4 MB
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17. Variable transformation and deletion in Python.srt
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7.5 KB
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18. Project Exercise 5.html
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307.2 B
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18. Quiz.html
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HTML
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204.8 B
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19. Linear models other than OLS.mp4
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19.2 MB
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19. Linear models other than OLS.srt
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4.4 KB
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19. Non-usable variables.mp4
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23.9 MB
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19. Non-usable variables.srt
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5.7 KB
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19.1 04_08_PDE_Non_Usable_var.pdf
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PDF
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138.3 KB
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19.1 05_09_Other_lin_model.pdf
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PDF
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156.5 KB
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2. Basic Equations and Ordinary Least Squares (OLS) method.mp4
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MP4
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50.3 MB
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2. Basic Equations and Ordinary Least Squares (OLS) method.srt
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2. Building a Machine Learning Model.mp4
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45.3 MB
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2. Building a Machine Learning Model.srt
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9.9 KB
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2. Congratulations & About your certificate.html
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1.9 KB
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2. Course contents.mp4
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MP4
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47.8 MB
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2. Course contents.srt
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2. Data Exploration.mp4
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23.4 MB
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2. Data Exploration.srt
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2. Opening Jupyter Notebook.mp4
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73.1 MB
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2. Opening Jupyter Notebook.srt
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2. Types of Statistics.mp4
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10.9 MB
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2. Types of Statistics.srt
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3.2 KB
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2.1 00_Introduction_01.pdf
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PDF
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801.5 KB
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2.1 01_02_Lecture_TypesOfStatistics.pdf
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PDF
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171.7 KB
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2.1 03_02_PDE_Data_exploration.pdf
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PDF
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322.9 KB
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2.1 05_02_Simple_lin_reg.pdf
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PDF
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284.8 KB
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20. Dummy variable creation Handling qualitative data.mp4
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MP4
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40.6 MB
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20. Dummy variable creation Handling qualitative data.srt
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20. Subset selection techniques.mp4
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MP4
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87.1 MB
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20. Subset selection techniques.srt
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12.9 KB
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20.1 04_11_Dummy_Var.pdf
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163 KB
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20.1 05_10_Subset_Selection.pdf
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208.5 KB
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21. Dummy variable creation in Python.mp4
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MP4
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33.9 MB
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21. Dummy variable creation in Python.srt
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5.3 KB
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21. Shrinkage methods Ridge and Lasso.mp4
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38.6 MB
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21. Shrinkage methods Ridge and Lasso.srt
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8.5 KB
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21.1 05_11_Shrinkage_methods.pdf
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PDF
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188.1 KB
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22. Project Exercise 6.html
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HTML
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204.8 B
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22. Ridge regression and Lasso in Python.mp4
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MP4
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156.6 MB
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22. Ridge regression and Lasso in Python.srt
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18.3 KB
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23. Correlation Analysis.mp4
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MP4
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81.3 MB
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23. Correlation Analysis.srt
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23. Heteroscedasticity.mp4
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MP4
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17.7 MB
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23. Heteroscedasticity.srt
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2.8 KB
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23.1 04_10_Correlation.pdf
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266.9 KB
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24. Correlation Analysis in Python.mp4
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MP4
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68 MB
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24. Correlation Analysis in Python.srt
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6.7 KB
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24. Project Exercise 10.html
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HTML
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409.6 B
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25. Final Project Exercise.html
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HTML
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307.2 B
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25. Project Exercise 7.html
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HTML
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307.2 B
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25.1 Movie_collection_test.csv
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CSV
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11.7 KB
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26. Quiz.html
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HTML
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204.8 B
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3. Assessing accuracy of predicted coefficients.mp4
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MP4
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104.4 MB
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3. Assessing accuracy of predicted coefficients.srt
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16.1 KB
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3. Course Resources.html
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307.2 B
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3. Describing data Graphically.mp4
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65.4 MB
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3. Describing data Graphically.srt
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3. Introduction to Jupyter.mp4
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51.3 MB
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3. Introduction to Jupyter.srt
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3. Introduction to Machine learning quiz.html
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204.8 B
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3. The Dataset and the Data Dictionary.mp4
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MP4
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78.6 MB
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3. The Dataset and the Data Dictionary.srt
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8.1 KB
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3.1 01_03_Lecture_DataSummaryandGraph.pdf
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PDF
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317.9 KB
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3.1 03_03_PDE_Raw_Data_Analysis_Uni.pdf
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PDF
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332 KB
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3.1 05_03_Simple_lin_reg_Accuracy.pdf
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PDF
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332.7 KB
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3.2 House_Price.csv
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CSV
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53.5 KB
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4. Arithmetic operators in Python Python Basics.mp4
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MP4
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15.9 MB
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4. Arithmetic operators in Python Python Basics.srt
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4. Assessing Model Accuracy RSE and R squared.mp4
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49.7 MB
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4. Assessing Model Accuracy RSE and R squared.srt
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4. Importing Data in Python.mp4
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32.5 MB
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4. Importing Data in Python.srt
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4. Measures of Centers.mp4
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38.6 MB
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4. Measures of Centers.srt
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4. This is a milestone!.mp4
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20.7 MB
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4. This is a milestone!.srt
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4.1 01_04_Lecture_Centers.pdf
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PDF
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323 KB
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4.1 05_03_Simple_lin_reg_Accuracy.pdf
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PDF
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332.7 KB
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4.1 House_Price.csv
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CSV
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53.5 KB
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5. Practice Exercise 1.html
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HTML
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307.2 B
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5. Project exercise 1.html
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HTML
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409.6 B
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5. Simple Linear Regression in Python.mp4
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MP4
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78.6 MB
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5. Simple Linear Regression in Python.srt
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11.7 KB
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5. Strings in Python Python Basics.mp4
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MP4
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80.6 MB
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5. Strings in Python Python Basics.srt
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16.9 KB
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5.1 Exercise 1.pdf
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PDF
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553.8 KB
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5.1 Movie_collection_train.csv
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CSV
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43.3 KB
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6. Lists, Tuples and Directories Python Basics.mp4
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MP4
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73.7 MB
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6. Lists, Tuples and Directories Python Basics.srt
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17.6 KB
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6. Measures of Dispersion.mp4
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MP4
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22.9 MB
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6. Measures of Dispersion.srt
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SRT
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5.2 KB
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6. Project Exercise 8.html
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HTML
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307.2 B
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6. Univariate analysis and EDD.mp4
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MP4
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27.3 MB
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6. Univariate analysis and EDD.srt
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SRT
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3.7 KB
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6.1 03_04_PDE_Univariate_Analysis_Uni.pdf
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PDF
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333.4 KB
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7. EDD in Python.mp4
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MP4
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75.1 MB
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7. EDD in Python.srt
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10.4 KB
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7. Multiple Linear Regression.mp4
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MP4
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38.9 MB
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7. Multiple Linear Regression.srt
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SRT
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5.8 KB
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7. Practice Exercise 2.html
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HTML
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307.2 B
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7. Working with Numpy Library of Python.mp4
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MP4
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54.1 MB
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7. Working with Numpy Library of Python.srt
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SRT
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10.9 KB
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7.1 05_04_Multiple_lin_reg.pdf
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PDF
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219.8 KB
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7.1 Exercise 2.pdf
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PDF
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469.9 KB
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8. Project Exercise 2.html
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HTML
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204.8 B
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8. The F - statistic.mp4
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MP4
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64.1 MB
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8. The F - statistic.srt
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SRT
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9.1 KB
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8. Working with Pandas Library of Python.mp4
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MP4
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56.5 MB
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8. Working with Pandas Library of Python.srt
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SRT
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8.8 KB
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8.1 05_05_F_stat.pdf
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PDF
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328.5 KB
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8.1 Customer.csv
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CSV
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64 KB
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9. Outlier Treatment.mp4
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MP4
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27.8 MB
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9. Outlier Treatment.srt
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SRT
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4.8 KB
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9. Quiz.html
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HTML
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204.8 B
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9. Working with Seaborn Library of Python.mp4
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MP4
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48.9 MB
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9. Working with Seaborn Library of Python.srt
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SRT
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7.3 KB
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9.1 04_06_PDE_Outlier_Treatment.pdf
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PDF
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355.1 KB
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[CourseClub.ME].url
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URL
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102.4 B
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[FCS Forum].url
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URL
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102.4 B
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[FreeCourseSite.com].url
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URL
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102.4 B
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[GigaCourse.Com].url
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URL
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0 B
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