Data cleaning and find the quailty of the wine using models

This repo contains an end-to-end project for predicting wine quality using machine learning.

This project involves building a machine learning model using Random Forest Classification to predict the quality of wine based on various chemical properties.

Example data-science web application, from "Hello, World!" to app

This project investigates the quality of red wine and its correlation with various factors to enhance understanding and improve wine production processes.

This project is designed to predict the quality of red or white wine based on various features. It utilizes Streamlit for the user interface and incorporates machine learning models from scikit-learn.

End to End Wine Quality Prediction

Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.

Winos is an app designed to help wine enthusiasts keep track of the wines they try and share their experiences with the community, as well as with friends and family. With Winos, users can rate and review wines, follow other users, and save their favorite wines for future reference.

Comparing Linear Regression with kNN, Decision Tree and Random Forest with Bayesian Inference to Predict Wine Quality in Python.

App for pK spectroscopy.

Wine Quality Prediction using Xgboost Classifier in Python

Classification of wine quality using a hard_parzen and a soft_parzen with gaussian kernel models

Predict wine quality using a deep neural network model and STM Embedded AI

Practice dataset for regression or classification modelling

Wine Quality Prediction

Having fun with MLOPS: Wine Stuff

This project was completed during the completion of the Bachelor of Science degree in Data Management and Data Analytics from Western Governors University

Corizo-Major Project- Wine Quality Analysis