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Item Details | Price |
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Language: English
Instructors: Team Edubacus
Why this course?
1a About the Speaker (3:00) | |||
1b ML Intro (7:00) | |||
2 Env Setup (8:00) | |||
3a eda part 1 (5:00) | |||
3b eda part 2 (13:00) | |||
4a Supervised vs Unsupervised ML (9:00) | |||
4b Supervised vs Unsupervised ML part 2 (3:00) | |||
5a Some Basic ML Approaches-010 (29:00) | |||
5b Basic ML Approaches Discussing Solutions (13:00) | |||
6 Neural Networks (18:00) | |||
7 Overfitting and Underfitting Bias-Variance Tradeoff (9:00) | |||
8 Regession demo TF 1 (16:00) | |||
9 NN demo TF 2 Keras (16:00) | |||
10a Transfer Learning (11:00) | |||
10b Transfer Learning (11:00) | |||
10c Transfer Learning (7:00) | |||
11a Bonus Visualization Explanation (12:00) | |||
11b Bonus Visualization Explanation (17:00) | |||
12 Congratulations (5:00) |
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