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AQI Predictor V2 use multiple Supervised Machine Learning with Hyper tuning. ML algorithms used Linear Regressor, Lasso Regressor, Decision Tree Regressor, Random Forest Regressor, XGboost Regressor. The Model deployed on web and can predict AQI visit https://aqipredictor.up.railway.app/

Python 63.53% HTML 23.47% Jupyter Notebook 9.54% Procfile 0.01% C 0.56% JavaScript 0.04% CSS 0.01% Lua 0.01% Cython 2.69% C++ 0.07% Fortran 0.05% Forth 0.01% Smarty 0.01% XSLT 0.01% PowerShell 0.02% Batchfile 0.01% Roff 0.01%
linear-regression machine-learning ml supervised-learning 3rd-year-project deployment developed hypertuning lasso-regression randon-forest

aqi_pre_v2's Introduction

Hi, I am Karan! Great to see you here! 👋

I am Karan Saini, and I am from Rohtak, Haryana, India. I have recently attained my Bachelor's degree in Computer Science And Engneering... I am a Python Developer with experience building open source ML & DL projects. I am a tech enthusiast & an open-source advocate. I am always open to collaborating on projects and innovative/disruptive ideas. Find out more about me & feel free to connect with me here:

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Python Java C++ HTML5 CSS3 MySQL

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Bootstrap Keras NumPy Pandas GitHub Pages Heroku Git

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