Dimensionality Reduction in Python | Feature Selection for Model Accuracy

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This video is related to Dimensionality Reduction in Python | Feature Selection 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 Selection
Lasso
Linear Regression
Gradient Boosting
Random Forest
Logistic Regression

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

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  1. Jazi Designs
  2. feature selection
  3. feature selection in machine learning
  4. feature selection python
  5. what is feature selection
  6. model selection
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