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1. Final Project Exercise.html
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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 R and R studio.mp4
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40.8 MB
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1. Installing R and R studio.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. Linear models other than OLS.mp4
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1. Linear models other than OLS.srt
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1. The problem statement.mp4
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1. The problem statement.srt
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1. Types of Data.mp4
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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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15.4 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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163.9 KB
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1.1 05_01_Intro.pdf
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239.3 KB
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1.1 05_09_Other_lin_model.pdf
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156.5 KB
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1.1 Lecture_machineLearning.pdf
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991.6 KB
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1.1 Movie_collection_test.csv
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11.7 KB
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10. Interpreting result for categorical Variable.mp4
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27.2 MB
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10. Interpreting result for categorical Variable.srt
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10. Outlier Treatment in R.mp4
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38 MB
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10. Outlier Treatment in R.srt
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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 R.mp4
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73.1 MB
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11. Multiple Linear Regression in R.srt
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8.1 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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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 R.mp4
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31.8 MB
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13. Missing Value imputation in R.srt
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13. Project Exercise 9.html
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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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49.2 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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113.8 MB
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16. Bi-variate Analysis and Variable Transformation.srt
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18.3 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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422.8 KB
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17. Test-Train Split in R.mp4
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91.1 MB
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17. Test-Train Split in R.srt
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17. Variable transformation in R.mp4
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67.9 MB
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17. Variable transformation in R.srt
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18. Project Exercise 5.html
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18. Quiz.html
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204.8 B
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19. Non Usable Variables.mp4
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24 MB
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19. Non Usable Variables.srt
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19.1 04_08_PDE_Non_Usable_var.pdf
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148.3 KB
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2. Basic equations and Ordinary Least Squared (OLS) method.mp4
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50.2 MB
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2. Basic equations and Ordinary Least Squared (OLS) method.srt
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2. Basics of R and R studio.mp4
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48.2 MB
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2. Basics of R and R studio.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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2. Course Resources.html
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307.2 B
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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. Subset Selection techniques.mp4
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87.1 MB
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2. Subset Selection techniques.srt
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2. The final milestone!.mp4
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2. The final milestone!.srt
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2. Types of Statistics.mp4
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2. Types of Statistics.srt
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2.1 01_02_Lecture_TypesOfStatistics.pdf
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171.7 KB
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2.1 03_02_PDE_Data_exploration.pdf
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322.9 KB
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2.1 05_02_Simple_lin_reg.pdf
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284.8 KB
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2.1 05_10_Subset_Selection.pdf
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198.5 KB
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20. Dummy variable creation Handling qualitative data.mp4
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40.6 MB
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20. Dummy variable creation Handling qualitative data.srt
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20.1 04_11_Dummy_Var.pdf
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163 KB
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21. Dummy variable creation in R.mp4
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52.3 MB
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21. Dummy variable creation in R.srt
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22. Project Exercise 6.html
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204.8 B
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23. Correlation Matrix and cause-effect relationship.mp4
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81.3 MB
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23. Correlation Matrix and cause-effect relationship.srt
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11 KB
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23.1 04_10_Correlation.pdf
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256.9 KB
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24. Correlation Matrix in R.mp4
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95.1 MB
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24. Correlation Matrix in R.srt
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25. Project Exercise 7.html
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307.2 B
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26. Quiz.html
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204.8 B
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3. Assessing Accuracy of predicted coefficients.mp4
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104.4 MB
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3. Assessing Accuracy of predicted coefficients.srt
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15.8 KB
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3. Congratulations & About your certificate.html
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1.9 KB
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3. Course contents.mp4
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47 MB
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3. Course contents.srt
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3. Describing the data graphically.mp4
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65.4 MB
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3. Describing the data graphically.srt
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3. Introduction to Machine learning quiz.html
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204.8 B
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3. Packages in R.mp4
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98.7 MB
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3. Packages in R.srt
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14.4 KB
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3. Subset selection in R.mp4
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76.6 MB
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3. Subset selection in R.srt
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3. The Data and the Data Dictionary.mp4
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78.6 MB
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3. The Data and the Data Dictionary.srt
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7.8 KB
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3.1 00_Introduction_01.pdf
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791.5 KB
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3.1 01_03_Lecture_DataSummaryandGraph.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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332 KB
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3.1 05_03_Simple_lin_reg_Accuracy.pdf
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332.7 KB
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3.2 House_Price.csv
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63.5 KB
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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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8 KB
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4. Importing the dataset into R.mp4
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16 MB
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4. Importing the dataset into R.srt
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4. Inputting data part 1 Inbuilt datasets of R.mp4
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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. Project Exercise 10.html
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204.8 B
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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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3.8 KB
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4.1 01_04_Lecture_Centers.pdf
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313 KB
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4.1 05_03_Simple_lin_reg_Accuracy.pdf
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332.7 KB
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4.1 House_Price.csv
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53.5 KB
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5. Inputting data part 2 Manual data entry.mp4
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30.9 MB
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5. Inputting data part 2 Manual data entry.srt
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5. Practice Exercise 1.html
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307.2 B
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5. Project Exercise 1.html
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409.6 B
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5. Shrinkage methods - Ridge Regression and The Lasso.mp4
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38.7 MB
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5. Shrinkage methods - Ridge Regression and The Lasso.srt
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5. Simple Linear Regression in R.mp4
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50.6 MB
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5. Simple Linear Regression in R.srt
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8 KB
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5.1 05_11_Shrinkage_methods.pdf
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188.1 KB
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5.1 Exercise 1.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. Inputting data part 3 Importing from CSV or Text files.mp4
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69.1 MB
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6. Measures of Dispersion.mp4
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22.9 MB
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6. Measures of Dispersion.srt
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6. Project Exercise 8.html
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307.2 B
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6. Ridge regression and Lasso in R.mp4
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124.2 MB
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6. Ridge regression and Lasso in R.srt
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11.4 KB
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6. Univariate Analysis and EDD.mp4
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27.3 MB
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6. Univariate Analysis and EDD.srt
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3.4 KB
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6.1 03_04_PDE_Univariate_Analysis_Uni.pdf
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333.4 KB
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6.1 Customer.csv
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74 KB
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7. Creating Barplots in R.mp4
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117.6 MB
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7. Creating Barplots in R.srt
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18.2 KB
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7. EDD in R.mp4
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112.3 MB
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7. EDD in R.srt
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11.6 KB
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7. Heteroscedasticity.mp4
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17.7 MB
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7. Heteroscedasticity.srt
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2.6 KB
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7. Multiple Linear Regression.mp4
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38.9 MB
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7. Multiple Linear Regression.srt
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7. Practice Exercise 2.html
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307.2 B
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7.1 05_04_Multiple_lin_reg.pdf
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229.8 KB
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7.1 Exercise 2.pdf
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479.9 KB
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8. Creating Histograms in R.mp4
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51.5 MB
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8. Creating Histograms in R.srt
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7.5 KB
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8. Project Exercise 11.html
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409.6 B
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8. Project Exercise 2.html
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204.8 B
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8. The F - statistic.mp4
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64.2 MB
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8. The F - statistic.srt
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9 KB
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8.1 05_05_F_stat.pdf
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338.5 KB
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9. Outlier Treatment.mp4
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27.8 MB
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9. Outlier Treatment.srt
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4.5 KB
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9. Quiz.html
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204.8 B
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9.1 04_06_PDE_Outlier_Treatment.pdf
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PDF
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365.1 KB
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Bonus Resources.txt
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TXT
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307.2 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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MyBlogs.pdf
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PDF
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310.3 KB
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R_Linear.R
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R
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2.7 KB
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