Welcome to the Arewa Data Science a Monthly Kaggle Challenges! We're thrilled to launch this initiative to foster and encourage data science skills among our community members. Every end of the month, we'll present a new Kaggle competition for you to participate in, learn from, and showcase your skills.
- π‘ Learn: Tackle real-world data science problems and learn new techniques.
- π€ Collaborate: Work with and learn from your peers in the ArewaDataScience community.
- π Win: Top 3 participants in each challenge will be awarded exciting prizes!
- π Grow: Build your data science portfolio and boost your career prospects.
Challenge Name | Weeks | Top Teams | Kaggle Link | Resources |
---|---|---|---|---|
Kick-up | - | - | Getting Started with Kaggle | Recording |
Will the bank customer churn or not? | TBA | TBA | Bank Churn Challenge | Starter Notebook |
Stay tuned for more exciting challenges coming your way!
- Sign Up: Make sure you have a Kaggle account. It's free!
- Join: Click on the Kaggle link for the current challenge.
- Learn: Use the provided resources and Kaggle notebooks to understand the problem.
- Code: Write your solution in Python or R.
- Submit: Upload your predictions to see how you rank on the leaderboard.
- Share: Post your notebooks in the
#kaggle-challenges
channel on our Telegram group.
- π₯ 1st Place: [Prize details to be announced]
- π₯ 2nd Place: [Prize details to be announced]
- π₯ 3rd Place: [Prize details to be announced]
Winners will also be featured on our website and social media channels!
We encourage all participants to share their journey on social media! π±
- π¦ Twitter: Tweet your progress with
#ArewaDataScienceChallenge
and tag@arewadatascience
. - πΈ Instagram: Share your code snippets or visualizations with
#ArewaDataScienceViz
. - π LinkedIn: Post your learnings and tag ArewaDataScience to reach professionals.
The more you share, the more you inspire others and grow our community!
- Join our Telegram group and ask questions in the
#kaggle-help
channel. - Check out the Kaggle Learn modules for guided tutorials.
- Attend our bi-weekly virtual meetups for problem-solving sessions.
- Follow us on Twitter for challenge announcements.
- Subscribe to our Newsletter for challenge updates and data science tips.
Happy coding, and may the best data scientist win!
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