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
- Customer churn Modelling☆10Updated 6 years ago
- These common credit score data sets are collected to empirical evaluations, and I will update dynamically.☆78Updated 5 years ago
- Customer Segmentation, RFM analysis and price elasticity☆17Updated 4 years ago
- Telecom Customer Churn Analysis with Python☆15Updated 7 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆34Updated 6 years ago
- Analysis for Customer Segmentation☆69Updated 4 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆41Updated 4 years ago
- Predicting how capable each applicant is of repaying a loan (Kaggle Challenge)☆11Updated 2 years ago
- ☆136Updated 6 years ago
- ☆42Updated 5 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆411Updated 8 months ago
- This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, an…☆80Updated 2 months ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 6 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆42Updated 4 years ago
- Different clustering approaches applied on different problemsets☆39Updated 4 years ago
- Deployment Heroku☆56Updated 9 months ago
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆117Updated 2 years ago
- This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…☆44Updated 4 years ago
- Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model☆41Updated 2 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 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 weeks ago
- Code repository for the online course Machine Learning with Imbalanced Data☆170Updated 3 months ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆58Updated 6 years ago
- [Project repo] On People Analytics for predicting employee turnover. (Employee Experience article included)☆30Updated last week
- Demand Forecasting Models for Kaggle competition☆81Updated 6 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆11Updated 7 years ago
- This repository of classification template using pyspark.☆18Updated 6 years ago
- A python library for repurposing traditional classification-based resampling techniques for regression tasks☆16Updated 4 years ago
- LGBM☆15Updated 3 years ago
- Sample of Python codes from mathematical problems☆109Updated 5 years ago