Embedded Files
1.ML_Introduction.pdf1. Introduction
1. Introduction
Introduction to Machine Learning
2.Python-Tutorial.pdf2. Python Tutorial
2. Python Tutorial
How to use Python in your ML programming
3. Linear Algebra Review
3. Linear Algebra Review
4. Classification Algorithms
4. Classification Algorithms
5. Decision Tree
5. Decision Tree
6. Bayesian Methods
6. Bayesian Methods
7. Support Vector Machine
7. Support Vector Machine
8. Assessing ML Performance
8. Assessing ML Performance
9. Regression
9. Regression
Linear - Lasso - Ridge Regression
10. Logistics Regression
10. Logistics Regression
11. Neural Networks
11. Neural Networks
12. Deep Neural Networks
12. Deep Neural Networks
13. Clustering
13. Clustering
14. PCA
14. PCA
Principle Component Analysis
15. ML Advices - Tips & Tricks
15. ML Advices - Tips & Tricks
16. Anomaly Detection
16. Anomaly Detection
17. Recommender System
17. Recommender System
18. Machine Learning Frameworks
18. Machine Learning Frameworks
Google Sites
Report abuse