abhisheks008 / ML-Crate

ML-Crate stands as the ultimate hub for a multitude of exciting ML projects, serving as the go-to resource haven for passionate and dedicated ML enthusiasts!πŸŒŸπŸ’« Devfolio URL, https://devfolio.co/projects/mlcrate-98f9
https://quine.sh/repo/abhisheks008-ML-Crate-409463050
MIT License
180 stars 215 forks source link

Large Video Games Companies #250

Closed abhisheks008 closed 1 year ago

abhisheks008 commented 1 year ago

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Large Video Games Companies :red_circle: Aim : Aim is to create a visualization on the largest video games companies in the world. :red_circle: Dataset : https://www.kaggle.com/datasets/kkhandekar/large-video-game-companies :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.


πŸ“ Follow the Guidelines to Contribute in the Project :


:red_circle::yellow_circle: Points to Note :


:white_check_mark: To be Mentioned while taking the issue :


Happy Contributing πŸš€

All the best. Enjoy your open source journey ahead. 😎

PiyushBL45t commented 1 year ago

Name: Piyush Tanaji Bhujbal GitHub Profile URL: https://github.com/PiyushBL45t Participant ID: NA Approach: I want to perform data preprocessing, visualization, and analysis tasks on the data set and monitor the sales for each gaming company. Participant role: HSOC participant

abhisheks008 commented 1 year ago

Go ahead! Issue assigned to you @PiyushBL45t