Predicting Wine Quality with Machine Learning | Machine Learning Projects | Urdu Hindi
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In this video, we'll explore a machine learning project that predicts the quality of wine based on a number of input variables. We'll begin by discussing the dataset, which contains information on red and white variants of the Portuguese "Vinho Verde" wine. We'll then use Python and Jupyter Notebook to perform data cleaning, exploratory data analysis, and feature engineering.
Next, we'll use regression models from the scikit-learn library to train and evaluate our model. We'll explain the difference between linear regression, decision tree regression, and random forest regression, and compare their performance on our dataset. Finally, we'll make predictions on new, unseen data and evaluate our model's accuracy.
Whether you're new to machine learning or an experienced data scientist, this video will provide valuable insights into the wine quality prediction problem and the tools and techniques used to solve it.
Wine Quality Prediction: A Machine Learning Project
Predicting Wine Quality with Machine Learning
Machine Learning for Wine Quality Prediction
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Source Code: https://github.com/611noorsaeed/Wine-...