Closed abhisheks008 closed 2 years ago
I would like to work on this
follow the guidelines and mention the details properly @Gauransh-Shukla
Full name : Sankalp Srivastava GitHub Profile Link : github.com/sankalp-srivastava Participant ID : 857 Approach for this Project : visualization and eda on dataset then training a model with xgboost and tensorflow Are you a participant of SWOC 2.0? YES
One issue at a time.
Full name : Sankalp Srivastava GitHub Profile Link : www.github.com/sankalp-srivastava Participant ID : 857 Approach for this Project : create a cnn model for uppercase and lowercase character predictions and predictions could also be done on real world images by using opencv library and preprocessing the image and getting predictions from model Are you a participant of SWOC 2.0? YES
Issue assigned @sankalp-srivastava
ML-Crate Repository (Proposing new issue)
:red_circle: Project Title : Iris Classification :red_circle: Aim : Implement a machine learning classification or regression model on the dataset. Classification is the task of separating items into its corresponding class. :red_circle: Dataset : https://archive.ics.uci.edu/ml/datasets/Iris :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.
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