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In this course, you will :
- Learn how to use scikit-learn to create supervised learning machine models in Python.
- Learn how to use hyperparameter tuning to improve the performance of your models and gain a better understanding of the drivers of customer churn that you can apply to your business.
- Discover the why, what, and how of preprocessing, as well as feature selection and feature engineering.
Syllabus :
- Exploratory Data Analysis
- Preprocessing for Churn Modeling
- Churn Prediction
- Model Tuning
