PDC4S:\IT\DATA SCIENCE AND MACHINE LEARNING\Machine learning with Complete Python (Basic to Advanced)\20. Selecting the right model

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1. Overfitting and Underfitting models.mp422,703 KB12/12/2021 3:34 AM
1. Overfitting and Underfitting models.srt10 KB12/12/2021 3:34 AM
2. visualizing Overfitting and Underfitting using kNN.mp452,100 KB12/12/2021 3:34 AM
2. visualizing Overfitting and Underfitting using kNN.srt10 KB12/12/2021 3:34 AM
3. selecting the right model.mp420,491 KB12/12/2021 3:34 AM
3. selecting the right model.srt4 KB12/12/2021 3:34 AM
4. what is validation.mp44,664 KB12/12/2021 3:34 AM
4. what is validation.srt3 KB12/12/2021 3:34 AM
5. understanding hold Out validation.mp48,205 KB12/12/2021 3:34 AM
5. understanding hold Out validation.srt5 KB12/12/2021 3:34 AM
6. implementing hold out validation.mp429,619 KB12/12/2021 3:34 AM
6. implementing hold out validation.srt6 KB12/12/2021 3:34 AM
7. understanding k fold cross validation.mp415,930 KB12/12/2021 3:34 AM
7. understanding k fold cross validation.srt8 KB12/12/2021 3:34 AM
8. implementing k fold cross validation.mp443,341 KB12/12/2021 3:34 AM
8. implementing k fold cross validation.srt8 KB12/12/2021 3:34 AM
9. bias variance tradeoff.mp440,648 KB12/12/2021 3:34 AM
9. bias variance tradeoff.srt15 KB12/12/2021 3:34 AM