Implementation of various ML algorithms and their application to real world problems

Wine Quality Prediction

Predicting quality of white wine using chemical attributes

A wine quality prediction machine learning model 🍷📈 uses data to assess and forecast the quality of wines, aiding wine enthusiasts and producers in making informed choices. 🤖👍🍇

Wine Quality Prediction Model (ML) ExtraTreesClassifier 88% Accuracy

This repository includes ml model of 1.House price prediction using linear regression model | 2.Wine Quality prediction using linear regression model | 3. IRIS Flowers Classification using logistic regression model

A continuous Machine Learning integration workflow using Github Actions. This project is based upon team collaboration for aesthetic version control for ML pipelines and deployement.

Predicting the quality of Wine

This is a ML Project of Wine Quality Prediction using Logistic Regression and Random Forest Classifier

Train a neural network to predict the quality of red-wine using chemical properties such as pH, density, alcohol percentage etc.

K means clustering implementation on the wine quality dataset

ANN model which predicts wine quality

This was the final project for the Machine Learning course.

This repository contains projects completed during Data Science Internship at CodeClause.

Empowering Advanced Text Classification and Wine Quality Prediction with Cutting-Edge Machine Learning Techniques.

ML algorithms for Regression, Classification, Clustering and Dimensional Reduction applied in a Wine Quality Dataset.

CPC152 Foundations and Programming for Data Analytics [AY 21/22]]

Implemented back-propagation algorithm on a neural network from scratch using Tanh and ReLU derivatives and performed experiments for learning purpose