10. Feature Selection in Python (Top Techniques Explained and Data given) | ML Basics | AIML Course
📂 Dataset used in this video:
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In this video, we learn Feature Selection, an important step in Machine Learning to improve model performance and reduce overfitting.
This tutorial includes:
• What is feature selection and why it is important
• Different techniques (Using SelectKBest and Using Random Forest)
• Practical implementation using Python
• Real dataset demonstration
This video is part of the AIML Course by NexTechX, where complex concepts are explained in a simple and practical way.
💻 Tools used:
• Python
• Pandas
• Scikit-learn
🚀 Related videos:
• Feature Scaling
• Encoding Techniques
• Outlier Detection
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