You will get Bank Customer Churn Predictor
Project details
This repository hosts a Bank Churn Predictor developed using various machine learning algorithms and a deep learning sequential model, integrated within a Flask web application. The predictor aims to forecast customer churn for banking services.
Machine Learning Tools
ChatGPT, GitHub Copilot, Google Sheets, Keras, Microsoft Excel, NumPy, OpenCV, pandas, PyMC, Python, Python Scikit-Learn, PyTorch, SciPy, XGBoostWhat's included $20
These options are included with the project scope.
$20
- Delivery Time 5 days
- Number of Revisions 1
- Number of Model Variations 7
- Number of Scenarios 5
- Number of Graphs/Charts 4
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
About Jay
ML | GenAI | LLM | Amazon Web Services
Ahmedabad, India - 6:50 pm local time
Skilled in Python, Flask, ReactJS, Streamlit, AWS, and Machine Learning (ML/DL).
I handle end-to-end project development — from data analysis and model building to UI design and deployment.
Clear and consistent communication is my priority, ensuring your project runs smoothly and meets your goals.
Let’s connect and turn your vision into a working solution! 🚀
Steps for completing your project
After purchasing the project, send requirements so Jay can start the project.
Delivery time starts when Jay receives requirements from you.
Jay works on your project following the steps below.
Revisions may occur after the delivery date.
Data Gathering
Need the right data to train the model.