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\u003ca href=\"https://machinehack.com/hackathons/dare_in_reality_hackathon/overview\"\u003e MACHINEHACK \u003c/a\u003e\n\n# About\n\n### Build a machine learning model that predicts the Envision Racing drivers’ lap times.\n\n### Competition Public LB Rank: 97/361   \u0026 Private LB Rank: 162/352\n\n### Evaluation Metric is RMSLE.\n\n### File information\n\n * dare_in_reality_hackathon_2021_model.ipynb\n    ### Packages Used,\n        * Sklearn\n        * catboost\n        * Pandas\n        * re\n        * klib\n        * datetime\n        * Numpy\n        * Matplotlib\n        * gradio\n        * Optuna\n        * shap\n        \n     ### Basic Exploratory Data Analysis\n     ### Created Catboost regressor model and tune the hyperparameters with the optuna framework.\n     ### Model interpretation with shap     \n     ### Created Demo Web-App using Gradio library\n     ### Model RMSLE is: 0.22119371161605259\n\n### Optuna Optimization History\n\n![Alt text](https://github.com/hariprasath-v/Machinehack-dare_in_reality_hackathon/blob/main/Optuna%20Optimization%20Plot.png)\n\n\n### Feature Importance     \n\n![Alt text](https://github.com/hariprasath-v/Machinehack-dare_in_reality_hackathon/blob/main/Feature%20Importance.png)\n\n\n### Hyperparameter Importance\n\n![Alt text](https://github.com/hariprasath-v/Machinehack-dare_in_reality_hackathon/blob/main/Hyperparameter%20Importance.png)\n\n\n### Demo App Screenshot.\n\n![Alt text](https://github.com/hariprasath-v/Machinehack-dare_in_reality_hackathon/blob/main/Model_Demo_App_%20Gradio_UI.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhariprasath-v%2Fmachinehack-dare_in_reality_hackathon","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhariprasath-v%2Fmachinehack-dare_in_reality_hackathon","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhariprasath-v%2Fmachinehack-dare_in_reality_hackathon/lists"}