ankitsingh1240 / CUSTOMER-CHURN-PREDICTION
INSAIDINSTRUCTIONS:You are required to come up with the solution of the given business case.Business Context:This case requires trainees to develop a model for predicting customer churn at a fictitious wireless telecom company and use insights from the model to develop an incentive plan for enticing would-be churners to remain with company.Data …
☆10Updated 3 years ago
Alternatives and similar repositories for CUSTOMER-CHURN-PREDICTION
Users that are interested in CUSTOMER-CHURN-PREDICTION are comparing it to the libraries listed below
Sorting:
- Customer churn Modelling☆10Updated 6 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- LGBM☆15Updated 4 years ago
- Thesis on Single-Agent Dynamic Pricing with Reinforcement Learning☆22Updated 5 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- These common credit score data sets are collected to empirical evaluations, and I will update dynamically.☆81Updated 6 years ago
- Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)☆11Updated 2 years ago
- This repository of classification template using pyspark.☆18Updated 6 years ago
- ☆42Updated 6 years ago
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆133Updated 2 months ago
- Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc☆25Updated 3 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆261Updated 2 years ago
- Customer Segmentation, RFM analysis and price elasticity☆17Updated 4 years ago
- Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review …☆75Updated 5 years ago
- ☆36Updated 5 years ago
- Deployment Heroku☆57Updated 11 months ago
- Use Machine Learning to Predict Bank Client's CD Purchase with XGBoost and Scikit Learn in Watson Studio☆37Updated 5 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆19Updated 5 years ago
- Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course☆30Updated 4 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 6 years ago
- A python library for repurposing traditional classification-based resampling techniques for regression tasks☆16Updated 4 years ago
- Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, D…☆93Updated last month
- A tour through recommendation algorithms in python [IN PROGRESS]☆177Updated 4 months ago
- Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model☆42Updated 2 years ago
- Repository to maintain all my clutter☆75Updated 3 years ago
- This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…☆80Updated 4 months ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆44Updated 5 years ago
- Application of K-means clustering. Prediction of customer churn using Multi-layer Perceptron ANN, Logistic Regression, SVM-RBF and Random…☆15Updated 4 years ago
- Open source marketing mix modeling code for vexpower.com☆44Updated 3 years ago