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chicksexer

A Python package for gender classification.

churn

XGBoost and GradientBoostingClassifier for churn prediction

churn-prediction

The goal of this project was to solve the problem of a telecom operator losing customers to its competitor. A predictive model was built with classification algorithms to predict the likelihood of churn (leaving a service) of a mobile telephone user. Random Forest classifier, XGBoost & Decision Tree algorithms were used for training & testing the model while feature engineering was extensively carried out to fine-tune and improve the accuracy of the model. More work was done in cleaning the data – handling missing values and inconsistency in the data. This project was submitted in a Kaggle Competition.

churn_predection

Telecom churn prediction using machine learning

forecast

Forecasting library in python

ml.churnmodelling

predicting-customer-churn

Predicting Customer Churn; simple approach using random forest

pyaf

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

tap-oracle

tap-s3-csv

telco-analytics-ibm

Analysis of a dataset to understand what are the most important drivers for customer churn and what recommendations can be given to reduce customer churn in the future as part of several challenges.

telco-churn

Telco churn comprehensive EDA and prediction

timeseriesanalysiswithpython