Feature Selection for Machine Learning

Feature Selection for Machine Learning, Select the variables in your data to build simpler, faster and more reliable machine learning models.

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What you'll learn

• Learn about filter, embedded and wrapper methods for feature selection
• Find out about hybdrid methods for feature selection
• Select features with Lasso and decision trees
• Implement different methods of feature selection with Python
• Learn why less (features) is more
• Reduce the feature space in a dataset
• Build simpler, faster and more reliable machine learning models
• Analyse and understand the selected features
• Discover feature selection techniques used in data science competitions

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