https://github.com/hariprasath-v/machinehack-work_hour_prediction_challenge

MachineHack-work_hour_prediction_challenge
https://github.com/hariprasath-v/machinehack-work_hour_prediction_challenge

exploratory-data-analysis klib optuna pandas shap sklearn

Last synced: 5 days ago
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MachineHack-work_hour_prediction_challenge

• Host: GitHub
• URL: https://github.com/hariprasath-v/machinehack-work_hour_prediction_challenge
• Owner: hariprasath-v
• Created: 2021-10-04T07:18:28.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2022-01-15T14:45:02.000Z (about 3 years ago)
• Last Synced: 2024-11-13T15:54:30.942Z (2 months ago)
• Topics: exploratory-data-analysis, klib, optuna, pandas, shap, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 1.3 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# MachineHack-work_hour_prediction_challenge

# About

### Predicting the working hours per week at different locations. The prediction is based on various attributes such as education, marital status, and so on.

### Competition Public Leaderboard Rank - 84/166 & Private Leaderboard Rank - 22/162

### File information

 * MachineHack-work_hour_prediction_challenge-EDA.ipynb

    ### Basic EDA

    ### Packages used,

      * Pandas

      * Numpy

      * Matplotlib

      * kib

      * seaborn

     

 * MachineHack-work_hour_prediction_challenge-Model.ipynb

    ### Data Pre-processing

    ### Feature Engineering

    ### Packages Used,

        * Sklearn

        * xgboost

        * Pandas

        * Numpy

        * Matplotlib

        * Optuna

        * shap

  

     ### Created Xgboost regressor model and tune the hyperparameters with the optuna framework.

     ### Model interpretation with shap

     

### Feature Importance     

![Alt text](https://github.com/hariprasath-v/MachineHack-work_hour_prediction_challenge/blob/main/Feature%20Importance%20plot.png)

### Hyperparameter Importance

![Alt text](https://github.com/hariprasath-v/MachineHack-work_hour_prediction_challenge/blob/main/Hyperparameter%20importance%20plot.png)