Yash-ai / Kaggle-Telecom-Customer-Churn-PredictionLinks
☆12Updated 6 years ago
Alternatives and similar repositories for Kaggle-Telecom-Customer-Churn-Prediction
Users that are interested in Kaggle-Telecom-Customer-Churn-Prediction are comparing it to the libraries listed below
Sorting:
- ☆10Updated 6 years ago
- ☆10Updated 6 years ago
- Customer churn Modelling☆10Updated 7 years ago
- INSAIDINSTRUCTIONS:You are required to come up with the solution of the given business case.Business Context:This case requires trainees …☆10Updated 3 years ago
- Code repo of solution of 11th place in Recsys Challenge 2022☆12Updated 3 years ago
- Uplift modeling package.☆376Updated 3 years ago
- uplift modeling in scikit-learn style in python☆793Updated 2 years ago
- ☆371Updated last year
- GBST is an optimized distributed gradient boosting survival trees library that is implemented based on the XGBoost☆37Updated 5 years ago
- Scorecard Development in python, 评分卡☆779Updated last year
- mtgbmcode☆178Updated 3 years ago
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆658Updated last year
- Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …☆116Updated 3 years ago
- XGBoost for label-imbalanced data: XGBoost with weighted and focal loss functions☆337Updated last year
- A collection of resources for Recommender Systems (RecSys)☆535Updated 4 years ago
- ☆24Updated 4 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆256Updated 6 years ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch☆1,396Updated 4 months ago
- AugBoost: Gradient Boosting Enhanced with Step-Wise Feature Augmentation (2019 IJCAI paper)☆23Updated 6 years ago
- Counterfactual Regression☆25Updated 9 years ago
- A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning☆600Updated 7 years ago
- Implements of Awesome RecSystem Models with PyTorch/TF2.0☆256Updated 5 years ago
- Uplift modeling and evaluation library. Actively maintained pypi version.☆78Updated 2 years ago
- Features selector based on the self selected-algorithm, loss function and validation method☆680Updated 6 years ago
- Open solution to the Home Credit Default Risk challenge☆460Updated 3 years ago
- Data visualization and EDA projects for different datasets on Kaggle☆15Updated 6 years ago
- A library of metrics for evaluating recommender systems☆582Updated 2 years ago
- 2nd Place Solution 💰🥈☆163Updated 2 years ago
- ☆871Updated 6 years ago