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Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

Jupyter Notebook 57.10% Python 0.33% HTML 42.56%
logistic-regression machine-learning multivariate-regression supervised-learning supervised-machine-learning

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yashksaini-coder

πŸ’« About Me:-

πŸ”­ I’m currently working on Regression-with-Flood-Prediction πŸ˜‰
πŸ‘― I’m looking to collaborate on Small scale Industry projects to learn how the execution takes place in big companies.
🀝 I’m looking for help with Artificial Intelligence & Generative AI
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