Book Content
chapters • 12h total length
1. Gentle Introduction To Machine Learning
2. Important Elements In A Machine Learning
3. Feature Selection & Feature Engineering
4. Linear Regression
5. Logistic Regression
6. Naïve Baiyes
7. Support Vector Machines
8. Decision Trees And Random Forests
9. K-Means
10. Heirarchical Clustering
11. Introduction To Recommedation Systems
12. Introduction To Natural Language Processing
13. Topic Modelling and Sentiment Analysis in NLP
14. Brief Introduction To Deep Learning And Tensorflow
15. Creating a Machine Learning Architecture
