Open abhisheks008 opened 1 year ago
Full name : Aarushi GitHub Profile Link : https://github.com/aarushiksk Email ID : aarushee002@gmail.com Participant ID (if applicable): Approach for this Project : 1) EDA: Performing necessary exploratory data analysis for understanding the dataset i.e visualisations and description of dataset. 2) Data Preprocessing: Checking for missing values, converting image formats. 3) Feature Extraction: Choosing important features. 4) Model training: Trying different algorithms like Random Forest and CNN.
What is your participant role? Participant in SSOC'23
Hi @aarushiksk nice to have you here. As per the Contribution Guidelines One contributor can work on one issue at a time.
Oh okay, then I request you to please assign me this issue instead of the weed crop one, if that's a possibility.
Cool, this issue will be assigned to you once the program starts officially.
Issue assigned to @aarushiksk
Issue assigned to @aarushiksk
Thank you :)
Full name : Niyonika Gaur GitHub Profile Link : https://github.com/niyonikagaur Email ID : nngaurz@gmail.com Participant ID (if applicable): Approach for this Project :
Assigned to you @niyonikagaur
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Batman Images Detection :red_circle: Aim : Create a DL model which will identify the images of Batman. :red_circle: Dataset : https://www.kaggle.com/datasets/mralamdari/batman-images-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.
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