PyVerse is an open-source collection of diverse Python projects, tools, and scripts, ranging from beginner to advanced, across various domains like machine learning, web development, and automation.
:red_circle: Title : Red wine Quality Detection
:red_circle: Aim : Red wine Quality Detection by statisticall addressing and referencinf each of these features 'residual sugar', 'total sulfur dioxide', 'sulphates', 'alcohol', 'volatile acidity', 'quality' and then thoroughly taking out a decision on the overall quality.
:red_circle: Brief Explanation : Detecting the quality of Red Wine based on different factors like alcohol concentration and also visualizing the data for better analytical approach. And then at last rechecking the result of our model using different algorithms like LogisticRegression, GaussianNB, KNeighborsClassifier, etc. The final model is checked against 7 Algorithms to determine its success rates.
Screenshots 📷
:white_check_mark: To be Mentioned while taking the issue :
Full name : inkerton
What is your participant role? (Mention the Open Source Program name. Eg. GSOC, GSSOC, SSOC, JWOC, etc.)
GSSOC
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
:red_circle: Title : Red wine Quality Detection :red_circle: Aim : Red wine Quality Detection by statisticall addressing and referencinf each of these features 'residual sugar', 'total sulfur dioxide', 'sulphates', 'alcohol', 'volatile acidity', 'quality' and then thoroughly taking out a decision on the overall quality. :red_circle: Brief Explanation : Detecting the quality of Red Wine based on different factors like alcohol concentration and also visualizing the data for better analytical approach. And then at last rechecking the result of our model using different algorithms like LogisticRegression, GaussianNB, KNeighborsClassifier, etc. The final model is checked against 7 Algorithms to determine its success rates.
Screenshots 📷
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎