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| Item Details | Price: | ||
|---|---|---|---|
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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