..
|
Exercise 1 - Linear Regression
|
Exercise 2 - Logistics Regression.ipynb
|
Exercise 3 - Multi-class Classification and Neural Networks
|
Exercise 4 - Neural Networks Learning
|
Exercise 5 - Regularization, Bias vs Variance
|
Exercise 6 - Support Vector Machines
|
Exercise 7 - K-means Clustering and PCA
|
Exercise 8 - Anomaly Detection and Recommender Systems
|
.Applied Machine Learning TextBook.pdf.icloud
|
.gitignore
|
ML-Study-Path.md
|
Readme.md
|