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Customer's Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the Banking industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer.

  • Updated May 30, 2024
  • Jupyter Notebook

Predict and prevent customer churn in the telecom industry with this project. Leverage advanced analytics and ML on a diverse dataset to build a robust classification model. Gain a deep understanding of customer behavior and identify key factors influencing churn. Clone the repository, explore insights, and enhance customer retention startegies.

  • Updated May 30, 2024
  • Jupyter Notebook

Explore the Kaggle Codes Repository for concise and powerful code snippets covering the essentials of data science and machine learning. From Kaggle competitions to real-world projects, discover insights into exploratory data analysis, machine learning models, feature engineering, and data science mathematics.

  • Updated May 29, 2024
  • Jupyter Notebook

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