Redwine - Larevel Admin Panel

Basic descriptive and predictive analysis of Red wine quality data using Python

An Exploratory Analysis of Red Wine data set to predict quality influencing factors.

This is a collection of final projects done as a part of GUVI Data Science Course. It consists of three projects working on the CarDekho, Zomato, and Red Wine datasets.

The project is implemented with Machine Learning for the detection of the quality of a beverage. The Concept of the project revolves around a particular work flow. The project is built using Machine Learning and Python. With the help of Kaggle's Dataset on the Wine Quality

🍷 Explore wine quality analysis! This project examines wine attributes to predict quality using machine learning models. Assessing chemical properties aids in understanding and enhancing wine quality for producers and consumers. Dive into data exploration, model training, and prediction to unravel insights crucial for wine enthusiasts and industry

Analyze the Red Wine Data and try to understand which variables are responsible for the quality of the wine.

These datasets contain information about wine preferences and the associated physicochemical properties of the wines. One dataset was obtained from the University of Portugal and was generated within a laboratory setting, while the other dataset was scraped by me and has been used in commercial settings.

Prediction of red wine quality using various regressions. I found this dataset online(UCI). I have implemented various regression such as Linear regression, Stochastic Gradient Descent Regression and Shrinkage methods such as Ridge regression, Lasso Regression, ElasticNet regression. All these regression methods have found the right solution. Th…

Project investigates the contents of WineDataset (Explotary data Analysis)