Closed abhisheks008 closed 2 years ago
Full name : Deepthi M GitHub Profile Link : https://github.com/deepthi1107 Participant ID : 294 Approach for this Project : Deatiled EDA, SWM, Linear regression, Desicion tree models will be used to predict the outcome. Are you a participant of SWOC 2.0? YES
Issue assigned to you @deepthi1107
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Wine Quality Prediction :red_circle: Aim : Perform various different machine learning algorithms like regression, decision tree, random forests, etc and differentiate between the models and analyse their performances. :red_circle: Dataset : https://archive.ics.uci.edu/ml/datasets/wine+quality :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.
Hello, ML-Crate contributors, this issue is only for the contribution purposes and allocated only to the participants of SWOC 2.0 Open Source Program.
📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎