Practice work for mlcource.ai
| Week | Topic | Status |
|---|---|---|
| 1 | Exploratory Data Analysis | Done |
| 2 | Visual Data Analysis | Done |
| 3 | Classification, Decision Trees and k Nearest Neighbors | Done |
| 4 | Linear Classification and Regression | Done |
| 5 | Bagging and Random Forest | |
| 6 | Feature Engineering and Feature Selection | |
| 7 | Unsupervised Learning: Principal Component Analysis and Clustering | |
| 8 | Vowpal Wabbit: Learning with Gigabytes of Data | |
| 9 | Time Series Analysis with Python | |
| 10 | Gradient Boosting |