This project is about the prediction of red wine quality using different machine learning algorithms
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Updated
Sep 17, 2020 - Jupyter Notebook
This project is about the prediction of red wine quality using different machine learning algorithms
Practice Exercise from Data Analysis course of Udacity DAND
Linear Regression Analysis on Wine data - Pre-processing data, Exploratory Data Analysis, Building a model, Check assumptions, Goodness of fit and Compare with different methods.
This Repository contains the Wine Quality Test Project.
This project help to determine the quality of wine using data analysis
Some algorithms of machine learning like Regression, Cluster, Deep Learning, and much more.
Data exploration and prediction of quality of wine.
Machine Learning classification problem displayed with Flask Application
A machine learning demo with brain.js and wine quality
🍷🔬 Wine Quality and Forecast 🍾🍇
A predictive data mining model to identify wines' qualities in dataset of wine information.
Building classification models to predict quality of wines. (Accuracy = 71.33%)
Used Multiple Linear Regression which will predict the quality of wine using 11 features.
Wine Predicts
Keywords—classification, supervised learning, Random Forest, K-Nearest Neighbor(K-NN), Naïve Bayes, Decision tree, Support Vector machine
Implementation of K-Nearest Neighbors from scratch using Pytorch
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