datta-magar / Olympics-x-Data

To enhance the Olympic experience, provide valuable insights, promote engagement, & address specific challenges related to the Olympic Games.
GNU General Public License v3.0
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Exploratory Data Analysis (EDA) #3

Open datta-magar opened 11 months ago

datta-magar commented 11 months ago
GemGabriel commented 10 months ago

I'm available

datta-magar commented 10 months ago

Glad to have you

GemGabriel commented 10 months ago

Where do we start

datta-magar commented 10 months ago

we will anlyze the data using pandas, numpy, matplotlib and scikit learn libraries.

akshaykumarkona commented 8 months ago

Hello, I'm willing to contribute to this project. You can check my GitHub portfolio for your reference.

datta-magar commented 8 months ago

Glad to have you

datta-magar commented 8 months ago

we'll work on data with jupyter notebook

akshaykumarkona commented 8 months ago

Yeah, for sure.

akshaykumarkona commented 8 months ago

But how could I get the dataset to do EDA on it?

datta-magar commented 8 months ago

The dataset is uploaded in repository, please find

datta-magar commented 8 months ago

Or you can find the link for dataset in readme itself

akshaykumarkona commented 8 months ago

Okay

GemGabriel commented 8 months ago

Im still part of the team

GemGabriel commented 8 months ago

Which of your dataset are we using for this project? ? what's the project about? what problem are we trying to solve?

datta-magar commented 8 months ago

https://github.com/datta-magar/Olympics-x-Data please find all details in this repo's readme file.

datta-magar commented 8 months ago

hey guy's, have you started the analysis

akshaykumarkona commented 8 months ago

Yeah, will give you an update once the EDA part is done.

GemGabriel commented 8 months ago

Which of your dataset are we using for this project? ? what's the project about? what problem are we trying to solve?

I haven't gotten any answer yet

datta-magar commented 8 months ago

https://github.com/datta-magar/Olympics-x-Data please find all details in this repo's readme file.