Good-Client-Bad-Client
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ACM-VIT
STEP 1: Import and read app data
Let's start on this project!
To create your first PR:
- Fork this repo
- Create a file with your name (yourname.py) in the folder submissions (Create one if folder is not there)
- Import the dataset and define the read_app_data() to read application data
- Make a pull request referencing this issue!
Function to Implement read_app_data()
Remember, this project is beginner level to help you get into the world of data science. If you have any doubts regarding what to do or how to work with github, just comment below the issue, we will be there to help you.
which dataset we have to import .In the directory no such data is present in csv or tsv or in other form.
@Rohan676 read the ReadMe. It has the link to drive in which the dataset is been stored
@avats101 thanks for help!! can you please suggest me if i need to download that csv file or should use that google drive link to import data and perform required operations.
What you could do is when you're working locally or on a colab notebook - you could use a local version of your csv file, but do not commit the file (due to size issues). So you could just mention that a user could download the dataset from the link we've provided
@Rohan676 Don't mention this issue in your commits, only mention it while making the Pull Request to this repo.
@adinalini actually i am new to github can you please suggest what i could do now.
@Rohan676 That's totally cool, everyone has to start sometime. And good job on completing the first step :) Right now when you made the PR and mentioned the issue, this is the only time you have to mention it. Don't mention issues while making commits elsewhere or while making a PR from this repo to your fork (When syncing new changes)
@Rohan676 Start working on the second task. 🎉
Others can comment below when they are ready to begin the project :)
2 people have started the project! 🎉 Feel free to comment when you want to start this beginner project, we will guide you if you get stuck somewhere 👍
