Machine Learning

Theory

1 Supervised vs Unsupervised Learning
2 Regression vs Classification

3 Feature Enhancements

4 Dimensionality Reduction

5 Over Fitting and Under Fitting

6 Gradient Descent

7 Gradient Boosting

Algorithms

1 Kernel Density Classification
2 K Means
3 K Nearest Neighbors
4 Naive Bayes
5 Decision Trees
6 Linear Regression
7 Support Vector Machine (Linear)

8 Neural Nets