README.md

IntroML

With scikit-learn

1. Data description and preprocessing
2. Decision tree
3. kNeighbors
4. Choice of metric for kNN
5. SVM
6. Text preprocessing + text analysis with SVM
7. Text preprocessing + text analysis with Linear Regression
8. Perceptron
9. Logistic Regression
10. Quality metrics
11. PCA
12. Random Forest
13. Gradient Boosting
14. Image compression with kMeans

With TensorFlow

1. Logistic Regression (py), (ipynb)
2. Multiclass Regression (py), (ipynb)
3. 2-layer Neural Network (py), (ipynb), (AWS adjusted)