This repository features a collection of machine learning projects that showcase various algorithms and techniques for real-world applications. From predictive modeling to customer segmentation, each project provides hands-on insights into the power of machine learning.

In this project I did lot of efforts because the dataset used was imbalanced that's why i couldn't find any ML algorithms that gave me good results, I tried different Sampling techniques, although nothing happened. Finally I build this project using ANN and got an 77% accuracy and also very good precision, recall and f1 score.

Wine Quality Prediction

A web app featuring five classification projects: Spam Mail Prediction, Titanic Survival Prediction, Wine Quality Prediction, Loan Status Prediction, and Credit Card Fraud Detection, all built with Streamlit.

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

Uses logistic regression to predict the quality of wine based on various physicochemical properties.

Previsão de Qualidade de Vinho com Redes Neurais Este repositório contém uma aplicação Flask que utiliza uma rede neural para prever a qualidade do vinho com base em suas características.

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

Implemented random forest machine learning algorithm using pyspark on AWS EMR to classify the wines. The model is then deployed in docker container.

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

Wine Quality Prediction

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. 🤖👍🍇

Machine Learning model to predict the quality of wine using linear regression.

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

I got an internship from Code Clause for the role of Data Science Intern. I had been allocated with 4 tasks, and this repository consists all of them. Hope its helpful if you need any. Thank you.

Wine quality depends on the grape quality and some other species. We need to predict the quality of wine.

Building classification models to predict quality of wines. (Accuracy = 71.33%)

Using data to help us choice high quality wine

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

This was the final project for the Machine Learning course.