Data Science & Analytics
Feature Engineering with Pandas and LightGBM
This course guides learners through diagnosing baseline model weaknesses, applying foundational and advanced feature engineering techniques, and building enhanced models to improve predictive performance.
Numpy
Python
4 lessons
17 practices
2 hours
Badge for Data Cleaning and Preprocessing,
Data Cleaning and Preprocessing
Course details
Diagnosing Weak Feature-Target Relationships in Your Dataset
Visualizing Feature-Target Relationships with Scatter Plots
Ranking Features by Correlation Strength
Filtering Weak Predictors for Feature Engineering
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