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1. Bagging.mp4
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32.3 MB
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1. Boosting techniques.mp4
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1. Boosting techniques.srt
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1. Classification Trees.mp4
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33 MB
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1. Classification Trees.srt
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8.1 KB
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1. Course resources Notes and Datasets.html
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102.4 B
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1. Gathering Business Knowledge.mp4
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14.5 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 Decision trees.mp4
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44.8 MB
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1. Introduction to Decision trees.srt
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1. Introduction to Machine Learning.mp4
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123.3 MB
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1. Introduction to Machine Learning.srt
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1. Introduction to SVM.mp4
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21.6 MB
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1. Introduction to SVM.srt
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3.2 KB
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1. Introduction.mp4
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21.2 MB
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1. Introduction.srt
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1. Kernel Based Support Vector Machines.mp4
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45.7 MB
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1. Kernel Based Support Vector Machines.srt
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1. Linear Discriminant Analysis.mp4
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48.4 MB
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1. Linear Discriminant Analysis.srt
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12.3 KB
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1. Linear models other than OLS.mp4
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19 MB
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1. Linear models other than OLS.srt
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5.3 KB
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1. Logistic Regression.mp4
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38.8 MB
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1. Logistic Regression.srt
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8.9 KB
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1. Random Forest technique.mp4
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21.4 MB
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1. Random Forest technique.srt
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1. Support Vector classifiers.mp4
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64.1 MB
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1. Support Vector classifiers.srt
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12.5 KB
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1. Test-Train Split.mp4
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45.4 MB
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1. Test-Train Split.srt
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11 KB
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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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1.8 KB
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1. The problem statement.mp4
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10.6 MB
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1. The problem statement.srt
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1.8 KB
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1. Three classification models and Data set.mp4
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52.3 MB
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1. Three classification models and Data set.srt
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6.7 KB
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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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5.2 KB
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1. Understanding the results of classification models.mp4
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MP4
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45.8 MB
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1. Understanding the results of classification models.srt
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7.8 KB
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1.1 Classification preprocessed data R.csv
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CSV
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41 KB
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1.1 Files_svm_r.zip
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ZIP
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1.7 MB
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10. Missing Value imputation in R.mp4
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MP4
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31.7 MB
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10. Missing Value imputation in R.srt
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4.1 KB
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10. Pruning a Tree in R.mp4
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MP4
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97 MB
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10. Pruning a Tree in R.srt
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11.8 KB
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10. Quiz.html
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HTML
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204.8 B
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11. Seasonality in Data.mp4
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MP4
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20.8 MB
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11. Seasonality in Data.srt
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4.1 KB
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11. Test-Train split.mp4
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48.8 MB
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11. Test-Train split.srt
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12.6 KB
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12. Bi-variate Analysis and Variable Transformation.mp4
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113.1 MB
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12. Bi-variate Analysis and Variable Transformation.srt
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20.2 KB
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12. Bias Variance trade-off.mp4
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29.4 MB
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12. Bias Variance trade-off.srt
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8.2 KB
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13. More about test-train split.html
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HTML
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512 B
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13. Variable transformation in R.mp4
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MP4
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67.6 MB
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13. Variable transformation in R.srt
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14. Non Usable Variables.mp4
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23.7 MB
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14. Non Usable Variables.srt
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14. Test-Train Split in R.mp4
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90.9 MB
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14. Test-Train Split in R.srt
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9.6 KB
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15. Assignment 1 Regression Analysis.html
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HTML
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204.8 B
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15. Dummy variable creation Handling qualitative data.mp4
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40.5 MB
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15. Dummy variable creation Handling qualitative data.srt
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16. Dummy variable creation in R.mp4
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52.2 MB
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16. Dummy variable creation in R.srt
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17. Correlation Matrix and cause-effect relationship.mp4
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80.8 MB
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17. Correlation Matrix and cause-effect relationship.srt
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11.4 KB
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18. Correlation Matrix in R.mp4
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MP4
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94.9 MB
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18. Correlation Matrix in R.srt
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7.2 KB
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19. Quiz.html
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HTML
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204.8 B
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2. Bagging in R.mp4
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MP4
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69.3 MB
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2. Bagging in R.srt
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2. Basic equations and Ordinary Least Squared (OLS) method.mp4
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MP4
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49.9 MB
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2. Basic equations and Ordinary Least Squared (OLS) method.srt
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2. Basics of Decision Trees.mp4
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50.6 MB
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2. Basics of Decision Trees.srt
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13.2 KB
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2. Bonus Lecture.html
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2.3 KB
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2. Building a Machine Learning Model.mp4
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MP4
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44.9 MB
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2. Building a Machine Learning Model.srt
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10.2 KB
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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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20.1 MB
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2. Data Exploration.srt
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2. Gradient Boosting in R.mp4
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MP4
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78.6 MB
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2. Gradient Boosting in R.srt
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2. Importing and preprocessing data.mp4
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25 MB
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2. Importing and preprocessing data.srt
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2.7 KB
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2. Importing the data into R.mp4
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8.8 MB
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2. Importing the data into R.srt
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1.4 KB
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2. Limitations of Support Vector Classifiers.mp4
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13 MB
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2. Limitations of Support Vector Classifiers.srt
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1.9 KB
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2. Linear Discriminant Analysis in R.mp4
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MP4
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89.5 MB
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2. Linear Discriminant Analysis in R.srt
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SRT
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10.5 KB
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2. Quiz.html
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HTML
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204.8 B
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2. Random Forest in R.mp4
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MP4
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37.4 MB
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2. Random Forest in R.srt
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5.6 KB
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2. Subset Selection techniques.mp4
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MP4
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86.7 MB
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2. Subset Selection techniques.srt
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15.3 KB
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2. Summary of the three models.mp4
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MP4
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25.1 MB
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2. Summary of the three models.srt
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6.2 KB
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2. Test-Train Split in R.mp4
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MP4
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90.2 MB
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2. Test-Train Split in R.srt
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10.3 KB
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2. The Concept of a Hyperplane.mp4
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MP4
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35.3 MB
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2. The Concept of a Hyperplane.srt
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6.2 KB
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2. The Data set for Classification problem.mp4
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MP4
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21.9 MB
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2. The Data set for Classification problem.srt
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2.4 KB
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2. This is a milestone!.mp4
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MP4
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20.7 MB
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2. This is a milestone!.srt
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2. Training a Simple Logistic model in R.mp4
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MP4
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31 MB
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2. Training a Simple Logistic model in R.srt
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4.3 KB
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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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3.3 KB
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2.1 Classification preprocessed data R.csv
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51 KB
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3. AdaBoosting in R.mp4
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MP4
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103 MB
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3. AdaBoosting in R.srt
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12.2 KB
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3. Assessing Accuracy of predicted coefficients.mp4
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103.9 MB
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3. Assessing Accuracy of predicted coefficients.srt
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19.9 KB
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3. Basics of R and R studio.mp4
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MP4
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48 MB
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3. Basics of R and R studio.srt
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SRT
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14.4 KB
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3. Building a classification Tree in R.mp4
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MP4
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100.1 MB
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3. Building a classification Tree in R.srt
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11.9 KB
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3. Classification SVM model using Linear Kernel.mp4
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MP4
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166.9 MB
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3. Classification SVM model using Linear Kernel.srt
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18.4 KB
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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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13.2 KB
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3. K-Nearest Neighbors classifier.mp4
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83.3 MB
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3. K-Nearest Neighbors classifier.srt
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10.3 KB
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3. Maximum Margin Classifier.mp4
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MP4
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26.2 MB
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3. Maximum Margin Classifier.srt
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4.4 KB
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3. Quiz Introduction to Machine Learning.html
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HTML
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204.8 B
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3. Results of Simple Logistic Regression.mp4
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MP4
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30.9 MB
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3. Results of Simple Logistic Regression.srt
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6.1 KB
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3. Subset selection in R.mp4
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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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MP4
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78.3 MB
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3. The Data and the Data Dictionary.srt
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3. The problem statements.mp4
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MP4
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17.1 MB
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3. The problem statements.srt
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3. Understanding a Regression Tree.mp4
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MP4
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52.2 MB
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3. Understanding a Regression Tree.srt
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SRT
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14 KB
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4. Advantages and Disadvantages of Decision Trees.mp4
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MP4
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7.8 MB
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4. Advantages and Disadvantages of Decision Trees.srt
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2.2 KB
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4. Assessing Model Accuracy - RSE and R squared.mp4
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MP4
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49.5 MB
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4. Assessing Model Accuracy - RSE and R squared.srt
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SRT
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9.8 KB
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4. Hyperparameter Tuning for Linear Kernel.mp4
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MP4
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70.4 MB
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4. Hyperparameter Tuning for Linear Kernel.srt
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7.2 KB
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4. Importing the dataset into R.mp4
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MP4
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15.9 MB
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4. Importing the dataset into R.srt
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2.9 KB
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4. K-Nearest Neighbors in R.mp4
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MP4
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79.6 MB
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4. K-Nearest Neighbors in R.srt
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SRT
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9.4 KB
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4. Limitations of Maximum Margin Classifier.mp4
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MP4
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12.5 MB
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4. Limitations of Maximum Margin Classifier.srt
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3.1 KB
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4. Logistic with multiple predictors.mp4
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MP4
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10 MB
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4. Logistic with multiple predictors.srt
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3.1 KB
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4. Measures of Centers.mp4
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MP4
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38.6 MB
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4. Measures of Centers.srt
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8.1 KB
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4. Packages in R.mp4
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MP4
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98.5 MB
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4. Packages in R.srt
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SRT
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14.6 KB
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4. Shrinkage methods - Ridge Regression and The Lasso.mp4
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MP4
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38.4 MB
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4. Shrinkage methods - Ridge Regression and The Lasso.srt
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4. The stopping criteria for controlling tree growth.mp4
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MP4
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16.5 MB
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4. The stopping criteria for controlling tree growth.srt
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4.3 KB
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4. Why can't we use Linear Regression.mp4
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MP4
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20.3 MB
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4. Why can't we use Linear Regression.srt
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5.7 KB
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4. XGBoosting in R.mp4
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MP4
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186.5 MB
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4. XGBoosting in R.srt
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SRT
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21.1 KB
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5. Course resources Notes and Datasets.html
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HTML
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102.4 B
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5. Inputting data part 1 Inbuilt datasets of R.mp4
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MP4
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46.1 MB
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5. Inputting data part 1 Inbuilt datasets of R.srt
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5.6 KB
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5. Measures of Dispersion.mp4
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MP4
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22.8 MB
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5. Measures of Dispersion.srt
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5.3 KB
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5. Polynomial Kernel with Hyperparameter Tuning.mp4
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MP4
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98.7 MB
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5. Polynomial Kernel with Hyperparameter Tuning.srt
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11.8 KB
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5. Ridge regression and Lasso in R.mp4
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MP4
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124 MB
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5. Ridge regression and Lasso in R.srt
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13 KB
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5. Simple Linear Regression in R.mp4
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MP4
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50.5 MB
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5. Simple Linear Regression in R.srt
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SRT
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9.6 KB
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5. Training multiple predictor Logistic model in R.mp4
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MP4
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18.3 MB
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5. Training multiple predictor Logistic model in R.srt
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2.1 KB
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5. Univariate Analysis and EDD.mp4
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MP4
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27.2 MB
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5. Univariate Analysis and EDD.srt
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3.8 KB
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5.1 Files_Dt_r.zip
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2.1 MB
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6. Confusion Matrix.mp4
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MP4
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26.6 MB
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6. Confusion Matrix.srt
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5.2 KB
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6. EDD in R.mp4
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MP4
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112 MB
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6. EDD in R.srt
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SRT
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13.7 KB
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6. Importing the Data set into R.mp4
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MP4
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51.8 MB
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6. Importing the Data set into R.srt
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6. Inputting data part 2 Manual data entry.mp4
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MP4
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30.8 MB
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6. Inputting data part 2 Manual data entry.srt
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3.7 KB
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6. Multiple Linear Regression.mp4
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MP4
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38.7 MB
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6. Multiple Linear Regression.srt
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SRT
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7.4 KB
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6. Radial Kernel with Hyperparameter Tuning.mp4
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MP4
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67.4 MB
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6. Radial Kernel with Hyperparameter Tuning.srt
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7.4 KB
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7. Evaluating Model performance.mp4
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MP4
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42.5 MB
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7. Evaluating Model performance.srt
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7. Inputting data part 3 Importing from CSV or Text files.mp4
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MP4
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69 MB
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7. Inputting data part 3 Importing from CSV or Text files.srt
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7. Outlier Treatment.mp4
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MP4
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27.3 MB
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7. Outlier Treatment.srt
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SRT
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4.9 KB
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7. SVM based Regression Model in R.mp4
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MP4
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124 MB
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7. SVM based Regression Model in R.srt
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SRT
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12.7 KB
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7. Splitting Data into Test and Train Set in R.mp4
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MP4
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52.6 MB
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7. Splitting Data into Test and Train Set in R.srt
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SRT
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7.3 KB
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7. The F - statistic.mp4
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MP4
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63.8 MB
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7. The F - statistic.srt
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SRT
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11.5 KB
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7.1 Customer.csv
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CSV
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64 KB
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7.2 Product.txt
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TXT
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139.5 KB
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8. Building a Regression Tree in R.mp4
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MP4
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121.9 MB
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8. Building a Regression Tree in R.srt
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SRT
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18.9 KB
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8. Creating Barplots in R.mp4
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MP4
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117.2 MB
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8. Creating Barplots in R.srt
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SRT
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18.3 KB
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8. Interpreting result for categorical Variable.mp4
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MP4
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26.9 MB
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8. Interpreting result for categorical Variable.srt
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SRT
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6.9 KB
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8. Outlier Treatment in R.mp4
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MP4
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37.8 MB
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8. Outlier Treatment in R.srt
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SRT
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4.9 KB
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8. Predicting probabilities, assigning classes and making Confusion Matrix in R.mp4
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MP4
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66.1 MB
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8. Predicting probabilities, assigning classes and making Confusion Matrix in R.srt
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SRT
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7.7 KB
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9. Creating Histograms in R.mp4
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MP4
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51.3 MB
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9. Creating Histograms in R.srt
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SRT
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7.6 KB
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9. Missing Value imputation.mp4
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MP4
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23.2 MB
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9. Missing Value imputation.srt
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SRT
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4.2 KB
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9. Multiple Linear Regression in R.mp4
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MP4
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72.8 MB
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9. Multiple Linear Regression in R.srt
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SRT
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9.6 KB
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9. Pruning a tree.mp4
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MP4
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22.2 MB
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9. Pruning a tree.srt
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SRT
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5.4 KB
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9. Quiz.html
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HTML
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204.8 B
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[CourseClub.Me].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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