Complete Guide For Feature Engineering
Why Feature Engineering?
"Imagine our home's front door -it's designed as a vertical rectangle, allowing ur to enter without bending. Now, consider if it was shaped as a horizontal rectangle instead. Attempting to enter without bending would be impossible, right? That's because the door's shape is optimized for its purpose.
In a similar manner, feature engineering serves as the 'shaping' process for data in machine learning. Raw data is like the intial door shape - not perfectly suited for the algorithms to work efficiently. Feature engineering transforms these raw features into more suitable forms, just like the door's shape being optimized for easy entry. By performing feature engineering, we tailor the data to match the algorithm's requirements, enabling them to perform effectively and produce meaningful results."
What is Feature Engineering?
1. Feature Transformation:
- Missing Value Imputation
- Handling Categorical Values
- Outlier Detection
- Feature Scaling
sir jo aapne github pe youtube automation ki repo daali hai usko kese use kare google colab mai uske uper ek video bana do
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