-
-
Notifications
You must be signed in to change notification settings - Fork 371
New issue
Have a question about this project? # for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “#”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? # to your account
Cricket Shots Detection #215
Comments
I would like to work on this, frankly I don't know much but I will learn and do. I am a newbie(first year UG student). I want to learn and grow. please give me the opportunity to learn and experience |
Please assign this issue to me @abhisheks008 I have good knowledge in machine learning and python libraries like NumPy pandas etc |
Please do not to spam in every single issue. This might cause escalation as you are breaching Code of Conduct and Contribution Guidelines. |
As per the code of conduct and contribution guidelines, one contributor can be assigned one issue at a time only. |
Pls assign this project to me , I have already made some Machine Learning projects . I will try my best to solve the issues . pls assign this to me . |
Hey @abhisheks008, |
Issue assigned to you @pro-utkarshM |
Full name : D. Uday Kiran |
Assigned @the-silent-geek |
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Cricket Shots Detection
🔴 Aim : Create a DL model which will identify the shots played in the game of cricket.
🔴 Dataset : https://www.kaggle.com/datasets/aneesh10/cricket-shot-dataset
🔴 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.🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
The text was updated successfully, but these errors were encountered: