AugustLONG / EmployeePrediction

kaggle项目：员工离职预测分析

EmployeeForecast.ipynb

1. EDA
2. Data preprocessing
3. Random forest modeling
4. Kmeans cluster

This is the first try to handle the Employee dataset. It focuses on exploratory data analysis, visualization, random forest modeling and kmeans clustering.

EmployeePrediction.ipynb

1. EDA
2. Feature engineering
3. Modeling

This is the second try to handle the Employee dataset. A complete data analysis and data mining process is realized, including exploratory data analysis, feature engineering, analysis by different models, such as KNN, Decision tree, ANN.