Do you want to understand machine learning algorithms and how artificial intelligence works but don’t know where to start? Or perhaps you already have some knowledge and want to deepen your understanding of AI-driven algorithms?

- This course is exactly what you need!

In this course, you’ll master 25 key machine learning algorithms:

1. Simple Linear Regression

2. Multiple Linear Regression

3. Logistic Regression

4. Decision Trees

5. K-means

6. Model Evaluation

7. Naive Bayes

8. Ridge Regression

9. Bagging

10. Random Forest

11. Boosting

12. LASSO

13. KNN

14. Gradient Boosting

15. PCA - Principal Component Analysis

16. XGBoost

17. LDA - Linear discriminant analysis

18. QDA - Quadratic discriminant analysis

19. Agglomerative Hierarchical Clustering

20. Hard-Margin SVM

21. SVM

22. DBSCAN

23. t-SNE

24. Isolation Forest

25. Perceptron