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Please note that this page does not hosts or makes available any of the listed filenames. You
cannot download any of those files from here.
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| 001 Course Introduction.mp4 |
27.75MB |
| 001 Loading Data in R.mp4 |
86.57MB |
| 001 Mapping Business to Machine Learning Tasks.mp4 |
45.09MB |
| 001 Recommended Books.mp4 |
43.17MB |
| 002 Further Topics.mp4 |
108.92MB |
| 002 Validating Models.mp4 |
112.59MB |
| 002 Visualizing Data.mp4 |
109.44MB |
| 002 Walk-through of a data science project.mp4 |
46.88MB |
| 003 Missing Values.mp4 |
99.65MB |
| 003 Naive Bayes background.mp4 |
77.77MB |
| 003 Next Steps.mp4 |
15.62MB |
| 003 Starting with R and data.mp4 |
93.44MB |
| 004 Naive Bayes practice.mp4 |
98.19MB |
| 004 The Shape of Data.mp4 |
141.71MB |
| 005 Dealing with Categorical Variables.mp4 |
138.54MB |
| 005 Linear Regression background.mp4 |
159.00MB |
| 006 Linear Regression practice.mp4 |
142.75MB |
| 006 Useful Data Transformations.mp4 |
109.89MB |
| 007 Logistic Regression background.mp4 |
61.62MB |
| 008 Logistic Regression practice.mp4 |
117.33MB |
| 009 Decision Trees and Random Forest background.mp4 |
55.96MB |
| 010 Random Forest practice.mp4 |
76.62MB |
| 011 Generalized Additive Models.mp4 |
58.18MB |
| 012 Support Vector Machines.mp4 |
143.36MB |
| 013 Gradient Boosting.mp4 |
70.71MB |
| 014 Regularization for Linear and Logistic Regression.mp4 |
67.29MB |
| 015 Evaluating Models.mp4 |
141.37MB |
| Examples.R |
3.21KB |
| homedata_lesson1_clean.rds |
1.38KB |
| homedata_lesson1_dirty.rds |
1.42KB |
| salaryData.rds |
12.23KB |
| Sec1_Lesson1_Walkthru.Rmd |
1.58KB |
| TestTrainExample.Rproj |
257B |
| TestTrainSplit.Rmd |
2.45KB |