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!🌟💫 Devfolio URL, https://devfolio.co/projects/mlcrate-98f9
https://quine.sh/repo/abhisheks008-ML-Crate-409463050
MIT License
181 stars 215 forks source link

Top Animation Movies and TV Shows Analysis #398

Closed abhisheks008 closed 1 year ago

abhisheks008 commented 1 year ago

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Top Animation Movies and TV Shows Analysis :red_circle: Aim : Create a data analysis project which will analyze the data from the given dataset. :red_circle: Dataset : https://www.kaggle.com/datasets/faisaljanjua0555/top-50-animation-movies-and-tv-shows :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.


📍 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 🚀

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

shrey141102 commented 1 year ago

I would like to take this issue. Thanks

Full name : Shreyansh Khaitan GitHub Profile Link : https://github.com/shrey141102 Participant ID (If not, then put NA) : NA Approach for this Project : I will do an exploratory data analysis and then visualise the given data into various colourful pie charts/ bar graphs to depict the movie and tv shows according to ratings, genre, etc. Will do a full analysis on the top rated movie/tv show and most popular genre etc. What is your participant role? KWoC '22

abhisheks008 commented 1 year ago

Issue assigned to you @shrey141102