⭐️ Content Description ⭐️
In this video, we explore customer churn prediction using classification techniques in Python. We walk through data preprocessing, feature engineering, and model training to identify customers likely to leave. Using machine learning algorithms, we analyze key factors influencing churn and demonstrate how businesses can take proactive measures to improve customer retention.
Dataset link: https://www.kaggle.com/datasets/blast...
Code Files: https://tinyurl.com/customerchurnml
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🕒 Timeline
00:00 Introduction to Customer Churn Analysis
02:20 Import Modules & Load Dataset
10:44 Exploratory Data Analysis
37:00 Preprocess Data
45:25 Model Training & Testing
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