Job category:Data Science & Analytics

Evaluating and Finalizing Your Feature-Driven Model

This course shows how feature engineering should change across models like Linear Regression, Random Forest, and LightGBM. You’ll build and test model-specific features, compare results with RMSE, and refine your pipeline based on evidence.
Numpy
Pandas
Python
sklearn
3 lessons
14 practices
2 hours
Badge for Programming and Algorithms,
Programming and Algorithms

Course details

Linear Regression Feature Optimization
Creating Binary Features for Linear Models
Creating Ratio Features for Linear Models
Evaluating the Impact of Feature Rounding on Linear Regression Performance
Beyond Rounding: Strategic Binning to Boost Linear Model Performance
Modularizing Your Final Linear Regression Features

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