Dimensionality Reduction Using PCA (python tutorial - Easily Explained)
In this Video , I'll go through dimensionality reduction with the Focus on PCA.
There is several advantages of dimensionality reduction including but not limited to:
Reduce memory & computation
*Better knowledge extraction
*Less Variance and more robust to outliers
*Ease of Visualization and interpreting results
Reduces Overfitting
*Improves Accuracy
Data source : https://www.kaggle.com/sid321axn/audi...
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