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Highlights:
Predicting Customer Churn with PySpark
8/30/23
Source:
Wahyu Sejati Roso on Medium
Tech Talk

In today’s data-driven business landscape, predicting customer churn stands as a pivotal facet of effective customer relationship management. This blog post embarks on a comprehensive journey to construct a robust customer churn prediction model using PySpark. By delving into data loading, cleaning, exploratory data analysis (EDA), feature engineering, and model evaluation, we harness the potent capabilities of Spark to empower data-centric decision-making.
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