Introduction to Engineering
Welcome to Introduction to Engineering
1. Introduction to Machine Learning
2. Linear Regression
3. Logistic Regression
4. K nearest Neighbors
5. Support Vector Machine
6. Decision Trees & Random Forests
7. Naive Bayesian Methods
8. K-Means
9. Principal Component Analysis
10 DBSCAN
11. Ensemble learning
12 Artificial Neural Networks
13 Recurrent Neural Networks
Index
