Machine Learning

In this section, which is the first part of the chapter from the Python programming course, we start together.

In the following, we are going to learn a good part of machine learning and the main part of this course is supervice learning and we will deal with unsupervice learning a bit.

The order of the sections of this course will be as follows, which will be added during the course:

1. Numpy
2. Pandas
3. Matplotlib & Searbon
4. Linear Regression
5. Logistic Regression (Comes with "Multi_Regression")
6. Preprocessing (With scikit-learn library)
7. GridSerach & Cross-Validatoin
8. Regularization
9. K-Nearest Neighbor
10. Naive_Bayes
11. Artificial Neural Network
12. Support Vector Machine (SVM)
13. Support Vector Regression (SVR)
14. Decision Tree (Regression & Classification)
15. Random Forest (Regression & Classification)
16. XGBoost (Regression & Classification)
17. k_means
18. DBScan
19. Principal Component Analysis (PCA)
20. Streamlit App
21. PyCaret
22. Projects

be happy :)