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

Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.
https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties

catboost machine-learning matplotlib numpy pandas seaborn shap sklearn

Last synced: about 1 month ago
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Identify the type of climate the exoplanet has based on the properties of the fruit by using machine learning.

• Host: GitHub
• URL: https://github.com/hariprasath-v/machinehack-odetocode_predicting_weather_using_alien_fruit_properties
• Owner: hariprasath-v
• License: gpl-3.0
• Created: 2022-01-26T05:00:45.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-02-16T16:35:36.000Z (about 3 years ago)
• Last Synced: 2024-11-13T15:54:31.337Z (3 months ago)
• Topics: catboost, machine-learning, matplotlib, numpy, pandas, seaborn, shap, sklearn
• Language: Jupyter Notebook
• Homepage:
• Size: 2.17 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Machinehack-odetocode_predicting_weather_using_alien_fruit_properties

### Competition hosted on  MACHINEHACK 

# About

### Identify the type of climate the exoplanet has based on the properties of the fruit.

### Competition Public LB Rank:109   &  Private LB Rank:19

### Final Score  0.5245

### Evaluation Metric is Accuracy.

### File information

 * odetocode_predicting_weather_using_alien_fruit_properties_EDA.ipynb

    ### Packages Used,

        * Sklearn

        * seaborn

        * Pandas

        * klib

        * Numpy

        * Matplotlib

    ### Basic Exploratory Data Analysis

    

* odetocode_predicting_weather_using_alien_fruit_properties_Model.ipynb

    ### Packages Used,

        * Sklearn

        * Pandas

        * Numpy

        * Matplotlib

        * catboost

        * shap

        * optuna

     ### Data Pre-processing         

     ### Created Catboost classifier model and tune the hyperparameters with the optuna framework.

     ### Model interpretation with shap  

     

### Feature Importance Catboost  

![Alt text](https://github.com/hariprasath-v/Machinehack-odetocode_predicting_weather_using_alien_fruit_properties/blob/main/Feature%20Importance_catboost_model.png)

### Hyperparameter Importance

![Alt text](https://github.com/hariprasath-v/Machinehack-odetocode_predicting_weather_using_alien_fruit_properties/blob/main/Hyperparameter%20Importance%20catboost_model.png)