https://github.com/ayax537/codsoft-task-30

📣 Third task on CodSoft Internship Customer Churn Prediction! Explored two approaches - AutoSearch and Neural Network - to predict customer churn.
https://github.com/ayax537/codsoft-task-30

ann nueral-networks

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📣 Third task on CodSoft Internship Customer Churn Prediction! Explored two approaches - AutoSearch and Neural Network - to predict customer churn.

• Host: GitHub
• URL: https://github.com/ayax537/codsoft-task-30
• Owner: ayax537
• Created: 2023-11-13T14:53:08.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-11-11T09:38:50.000Z (about 2 months ago)
• Last Synced: 2024-11-11T10:33:08.377Z (about 2 months ago)
• Topics: ann, nueral-networks
• Language: Python
• Homepage:
• Size: 1.95 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# CodSoft-task-30

📣 Third task on CodSoft Internship

Customer Churn Prediction! 

Explored two approaches - AutoSearch and Neural Network - to predict customer churn. Here's what I did:

-Loaded data and imported necessary libraries.

-Conducted EDA to understand correlations in the dataset.

-Preprocessed data and used AutoSearch for model selection and tuning.

-Built a Neural Network model for churn prediction.

-Made predictions to assess customer churn likelihood.

-Excited to share insights on churn prediction and retention strategies.

 Let's continue pushing the boundaries of data science and analytics!