Closed abhisheks008 closed 4 months ago
Full name: Lahitha Naidu Ankem GitHub Profile Link: https://github.com/Lahitha1303 Participant ID (If not, then put NA): Approach for this Project: Exploratory Data Analysis: Filtering the dataset or performing feature engineering so that it can easily fit on the model. Model Implementation: Feature selection using tree-based Modell, algorithm, etc. Applying the different types of models like, random forest, deep neural networks, apriori algorithm etc. Model Comparison: Calculation accuracy scores using precision, recall etc... Deployment Testing: Summarizing all the algorithm's efficiency and scores at the end of the notebook. What is your participant role? IWOC 2024
Issue assigned to you @Lahitha1303
@abhisheks008 i would like to work on this issue. Could you please assign it to me?
Full name : Avdhesh Varshney GitHub Profile Link : https://github.com/Avdhesh-Varshney Participant ID (If not, then put NA) : Approach for this Project :
What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.) IWOC
Hi @Lahitha1303 what's the update on this issue?
Issue unassigned from @Lahitha1303 due to inactivity.
Issue assigned to @Avdhesh-Varshney under IWOC 2024.
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Cardiovascular Disease Analysis and Prediction :red_circle: Aim : The aim of this project is to analyze and predict the disease based on the given dataset. :red_circle: Dataset : https://www.kaggle.com/datasets/jocelyndumlao/cardiovascular-disease-dataset :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.
📍 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. 😎