[MODEL] Customer Churn Prediction

The-Data-Alchemists-Manipal / MindWave

MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.

MIT License

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Is your feature request related to a problem? Please describe.

We need to predict whether the customer will churn, stay or join the company based on the parameters of the dataset.

Describe the solution you'd like

The advantage of calculating a company's churn rate is that it provides clarity on how well the business is retaining customers, which is a reflection on the quality of the service the business is providing, as well as its usefulness.

Describe alternatives you've considered

Machine Learning Models Applied

Random Forest
Logistic Regression
Naive Bayes Gaussian
Decision Tree
XGB_Classifier

Additional context

Dataset Link: https://www.kaggle.com/datasets/hiimanshuagarwal/predictive-maintenance-dataset

Code of Conduct

[X] I agree to follow this project's Code of Conduct

The-Data-Alchemists-Manipal / MindWave