Machine Learning Fundamentals

Name: Machine Learning Fundamentals
Price: 9 USD
Availability: InStock

4h 5m 9s

English

Paid

December 20, 2024

Advance your career in machine learning with confidence. Master the key ML fundamentals that are in demand by employers and acquire the skills necessary to solve real-world problems. Start building a successful future in the tech field today!

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#	Title	Duration
1	Introduction	06:55
2	1. Machine Learning Basics	15:27
3	2. Bias-Variance Trade-off	07:11
4	3. Overfitting Regularization	15:31
5	4.1 Linear Regression - Causal Analysis (Part 1)	14:51
6	4.2 Linear Regression - (Part 2)	24:25
7	5. Logistic Regression & Maximum Likelihood Estimation (MLE)	15:09
8	6. Linear Discriminant Analysis (LDA)	11:15
9	7. K-Nearest Neighbors (KNN)	11:52
10	8. Decision Trees	16:45
11	9. Bagging	07:54
12	10. Random Forest	08:11
13	11. (Boosting Part 1) Introduction	08:01
14	12. Boosting (Part 2) - AdaBoost	10:00
15	13. Boosting (Part 3) - Gradient Boosting Model (GBM)	10:53
16	14. Boosting (Part 4) - XGBoost	08:08
17	15. Clustering (Part 1) - K-Means & Elbow Method	17:43
18	16. Clustering (Part 2) - Hierarchical Clustering	10:49
19	17. Clustering (Part 3) - DBScan	07:45
20	18. Dimensionality Reduction (Part 1) - Feature Selection	07:32
21	19. Dimensionality Reduction (Part 2) - Principal Component Analysis	08:52