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I've joined the #100DaysOfDataScience Challenge

I am starting this 100 Days of Data Science Challenge to encourage myself to work on my courses and projects on consistent daily basis.

Most of the below content was from the original Kallay 100-days-of-code repository.



I will start by working through:

If you've decided to join:

  1. Check out the Official Site for the #100DaysOfCode movement. Connect with others on the platform of your choice from this list: Also, here is a invite link to the 100DaysOfCode Slack channel
  2. Read Join the #100DaysOfCode
  3. Fork this repo and commit to the Log or to the Alternative, rapid R1 Log (R1 stands for Round 1) daily. Example.
  4. Code minimum an hour every day for the next 100 days.
  5. Encourage at least two other people in the challenge on Twitter every day! Pay it forward!
  6. Change the date in Rules to the day you've started the challenge.
  7. Delete the examples in the log, or comment them out, and start filling it with your own content.
  8. Tweet your progress every day using the #100DaysOfCode hashtag.
  9. Follow 100DaysOfCode Twitter Bot that retweets the tweets that contain the #100DaysOfCode hashtag. It's a great way to keep yourself motivated and to participate in the community. Thanks @amanhimself for creating it!
  10. Important: (see No.4 above for a specific rule on this) Encourage others who are doing the same challenge on Twitter or elsewhere - by giving them props when they are posting updates on their progress, supporting them when things get difficult. Thus we will grow a community that is helpful and effective, which will lead to a higher success rate for each person involved. It's also more likely that you will stick to your own commitment, given that you will get acquainted with a couple people (or more) right away.
  11. If you find a great, helpful resource that others would benefit from, either submit a Pull Request to add it to the repo, or just tweet at me (see info below)


100 Days of Data Science






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