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
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World Crime Analysis #395

Closed abhisheks008 closed 1 year ago

abhisheks008 commented 1 year ago

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : World Crime Analysis :red_circle: Aim : Create data analysis project which will analyze the world crime rate from the given dataset. :red_circle: Dataset : https://www.kaggle.com/datasets/ahmadjalalmasood123/world-crime-index :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.


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Happy Contributing 🚀

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

swadhin1237 commented 1 year ago

Hello, I would like to work on this project. Please assign it to me Full Name: SWADHIN SATYAPRAKASH MAJHI GitHub Link: https://github.com/swadhin1237 Participant ID: NA Approach For this project: I will try to use 2-4 algorithms to implement the models and compare all the algorithms to find out the best fitting algorithm for the model by checking the accuracy scores. Also, I will perform an exploratory data analysis before creating any model. What is your participant role: contributor

aditya0402-debug commented 1 year ago

Hello, I would like to work on this project. Please assign it to me Full Name: SWADHIN SATYAPRAKASH MAJHI GitHub Link: https://github.com/aditya0402-debug Participant ID: NA Approach For this project: preprocessing the data to separate country and city, then analyse crime rate both country and city wise What is your participant role: contributor in KWoC

abhisheks008 commented 1 year ago

Issue assigned to you @aditya0402-debug