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 |