shuvo31/milk-quality-prediction

Topic: Milk Quality Prediction using Machine Learning

Topic: Milk Quality Prediction using Machine Learning
Dataset Description: This dataset is manually collected from observations. It helps us to build machine learning models to predict the quality of milk. This dataset consists of 7 independent variables ie pH, Temperature, Taste, Odor, Fat, Turbidity, and Color. Generally, the Grade or Quality of the milk depends on these parameters. These parameters play a vital role in the predictive analysis of the milk.
Target: We have to perform data preprocessing, and data augmentation techniques to build statistical and predictive models to predict the quality of the milk.

Inspiration: To leverage the benefits of machine learning in the dairy industry.

📈 Using XGBoost, I have developed a machine-learning model that can predict the quality of the milk with amazing accuracy.

Kaggle Link: https://surl.li/gblrf

Dataset: https://surl.li/gblrt
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