Fundamentals of Machine Learning
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Study Materails
Introduction to Machine Learning
2. Essential Mathematics for Machine Learning
3. Fundamentals of Optimization
4. Linear Regression Model
5 Evaluation Metrices for Machine Learning Models
6. Logistic Regression
7. Baysian Classification Models
8. Naive Bayes Classification Model
9. K-Nearest Neighbor(KNN) Algorithm
10. Support Vector Machine
11. Decision Tree Model
12. Ensemble Models
13. Random Forest
14. Neural Network and Deep NN
15. Unsupervised Learning Algorithms
16. Reinforcement Learning
First Test
Second Test