Closed abhisheks008 closed 6 months ago
Hi, @abhisheks008! I would like to take up this issue.
Full name : Shrutakeerti Datta
GitHub Profile Link : https://github.com/Shrutakeerti
Participant ID (If not, then put NA) : N/A
Approach for this Project :
1) Exploratory Data Analysis (EDA):
Conducting the exploratory data analysis to understand the dataset's characteristics, identify patterns, and assess feature distributions. Analyzing the accuracy scores and additional metrics to identify the algorithm that performs best on the given dataset.
2) Model Implementation:
By choosing 3-4 machine learning algorithms as per said in the requirements suitable for the classification task (e.g., decision trees, random forests, support vector machines, and gradient boosting).
3) Model Comparison: Calculating the accuracy scores for each mode with relevant metrics such as precision, recall, and F1 score for a more comprehensive evaluation.
4) Deployment and Testing : Analyzing the accuracy scores and additional metrics to identify the algorithm that performs best on the given dataset.
What is your participant role? IWOC 2024
One issue at a time @Shrutakeerti
@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
Full name : Md Aamir Ansari GitHub Profile Link : https://github.com/aamiransari072 Participant ID (If not, then put NA) : Approach for this Project : after examine the data set i found that data set colums are correctly not labeld so first labeld the data correctly then performing eda and find the most dependent feature for target and we have to predict multiple output so we have to both regression and calssification model and evalue them according to roc curve and confusion matrix What is your participant role? IWOC 2.O
Issue assigned to you @Avdhesh-Varshney
@aamiransari072 you can check out other issues present in this repo, as the issues are being assigned in a FCFS manner.
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Critically Ill Patients Analysis and Prediction :red_circle: Aim : Create a bunch of ML models to analyze the critically ill patients and predict their future. :red_circle: Dataset : https://www.kaggle.com/datasets/margaritakholostova/support-ii-dataset-with-critically-ill-patients :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.
π 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 π
All the best. Enjoy your open source journey ahead. π