matakshay / Air_quality_pred

Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air

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machine-learning machine-learning-algorithms linear-regression locally-weighted-regression closed-form-solution air-quality-prediction python3 regression-algorithms artificial-intelligence

Air_quality_pred

Implemented Locally Weighted Regression (LOWESS) algorithm to predict the quality of Air Pollution. Each training/testing example has 5 features on the basis of which, the quality is predicted

It uses the Closed Form Solution for this algorithm, with bandwidth parameter set to 0.1

An accuracy of 96% (Coeff. of Determinaton converted to percentage, rounded to nearest integer) has been achieved on the testing dataset.

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Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air

machine-learning machine-learning-algorithms linear-regression locally-weighted-regression closed-form-solution air-quality-prediction python3 regression-algorithms artificial-intelligence

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