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Beginner-friendly collection of Python notebooks for various use cases of machine learning, deep learning, and analytics. For each notebook there is a separate tutorial on the relataly.com blog.
Created 2020-04-28
331 commits to master branch, last one about a year 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
Created 2019-10-24
22 commits to master branch, last one 4 years ago
Unlock actionable insights and boost customer retention with this Power BI project. Analyze and visualize risk factors to proactively prevent churn. ➡️
Created 2024-01-07
8 commits to main branch, last one 9 months ago
An End to End Customer Churn Prediction solution using AWS services.
Created 2021-05-06
119 commits to main branch, last one 3 years ago
Developed a churn prediction model using XGBoost, with comprehensive data preprocessing and hyperparameter tuning. Applied SHAP for feature importance analysis, leading to actionable business insights...
Created 2024-08-12
16 commits to main branch, last one 4 months ago