Dimensionality Reduction in Python | Feature Extraction

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This video is related to Dimensionality Reduction in Python | Feature Extraction for Model Accuracy

The tasks are done in this video using python programming libraries such as
warnings
pandas
sklearn
matplotlib
seaborn

Methods:
Train Test Split
Normalization
Feature Extraction
Random Forest

Tasks:
● Analyze Accuracy through Feature Extraction
● Find a good variance threshold
● Color the Normalized Points through Specific Features

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