Yash-ai / Kaggle-Telecom-Customer-Churn-PredictionView external linksLinks
☆12Aug 14, 2019Updated 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:
- ☆10Aug 14, 2019Updated 6 years ago
- ☆10Aug 14, 2019Updated 6 years ago
- ☆11Aug 14, 2019Updated 6 years ago
- ☆12Aug 15, 2019Updated 6 years ago
- ☆10Aug 14, 2019Updated 6 years ago
- A Desktop Application for CD/DVD Rental System☆13Aug 14, 2019Updated 6 years ago
- Customer churn Modelling☆10Aug 31, 2018Updated 7 years ago
- INSAIDINSTRUCTIONS:You are required to come up with the solution of the given business case.Business Context:This case requires trainees …☆10Mar 15, 2022Updated 3 years ago
- 通过挖掘海量的历史音乐欣赏记录,流媒体服务向用户提供个性化音乐推荐,实现一个完整的推荐系统,同时预测用户是否在到期后的一个月内预定、流失的概率。☆12May 5, 2019Updated 6 years ago
- Application of K-means clustering. Prediction of customer churn using Multi-layer Perceptron ANN, Logistic Regression, SVM-RBF and Random…☆15Dec 20, 2025Updated last month
- Telecom Customer Churn Analysis with Python☆15Nov 28, 2017Updated 8 years ago
- The 11th ACM International Conference on Web Search and Data Mining (WSDM 2018) is challenging you to build an algorithm that predicts wh…☆10Jan 17, 2018Updated 8 years ago
- ☆16Sep 5, 2020Updated 5 years ago
- A Flashcard app built using React Native on the frontend & Rust on the backend. This app was built as a coursework for the class "Softwar…☆20Jan 19, 2024Updated 2 years ago
- A Portfolio Generator website developed using NextJS☆21Feb 25, 2022Updated 3 years ago
- The web based system which allows bidding for products☆19Oct 12, 2020Updated 5 years ago
- Customer Churn Analysis Experiments using Classical ML algorithms and Deep Neural Network☆15Apr 7, 2018Updated 7 years ago
- This repository explains how to predict customer churn. An Hackathon Organized by Data Science Nigeria(DSN-AI) to help Expresso predict c…☆21Oct 17, 2021Updated 4 years ago
- ☆17Aug 10, 2019Updated 6 years ago
- My Solution to the Assignment Task based on Telecom Italia's Big Data Challenge☆25Jun 3, 2020Updated 5 years ago
- Churn analysis library☆22Dec 18, 2025Updated last month
- ☆31Apr 14, 2019Updated 6 years ago
- Predicting which set of the customers are gong to churn out from the organization by looking into some of the important attributes and ap…☆30Mar 31, 2019Updated 6 years ago
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Jun 13, 2018Updated 7 years ago
- Professional AI Model VRAM Calculator☆59Jul 16, 2025Updated 7 months ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆37May 4, 2021Updated 4 years ago
- Python package and CLI for user-friendly integration with SAS Viya☆52Updated this week
- A prototype implementation of ClusChurn based on PyTorch.☆51Feb 13, 2018Updated 8 years ago
- Code based in TensorFlow☆51Dec 28, 2019Updated 6 years ago
- Benchmark tabular Deep Learning models against each other and other non-DL techniques☆57Jun 12, 2021Updated 4 years ago
- 一些面试用的计算机基础知识,算法以及面经。☆48Apr 7, 2022Updated 3 years ago
- 零售电商客户流失模型,基于tensorflow,xgboost4j-spark,spark-ml实现LR,FM,GBDT,RF,进行模型效果对比,离线/在线部署方式总结☆67Sep 5, 2023Updated 2 years ago
- A Corpus of 475,000 Industrial Occupations☆70Nov 20, 2020Updated 5 years ago
- ☆68Dec 8, 2022Updated 3 years ago
- A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recomme…☆81Nov 21, 2025Updated 2 months ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆48Feb 14, 2022Updated 4 years ago
- 基于真实业务上手数据挖掘(银行流失预警):数据的处理、LightGBM、skLearning包(里面含有:GridSearchCV寻找最优参、StratifiedKFold分层5折切分、_test_Split单次数据切分等)、叠层模型融合、画AUC图、画混淆矩阵图,并输出预…☆100Mar 22, 2022Updated 3 years ago
- Customer Churn Shiny Application☆98Dec 11, 2019Updated 6 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Nov 19, 2018Updated 7 years ago