Random Forest Hackathon
Data and ML Hackathon For Students
Sunday, January 5th, 2025, 8 AM to 6 PM
Zoho Corporation
4141 Hacienda Dr, Pleasanton, CA
Random Forest Hacks
The Random Forest hack is an open community for students curious about data and ML. We explore topics like Python programming, data computations, and ML algorithms in a fun and collaborative way. Whether you're new to coding or already a pro, our goal is to invite you to learn and solve community problems using data and ML.
We keep things interesting with our hackathons and learning tracks that build knowledge, teamwork, and creative problem-solving. Join us to learn, experiment, and get inspired by the possibilities of technology and data. This is a great way to geek out with friends over cool data and ML projects!
10
Hours
100+
Participants
3
Workshops
Learning Trackss
DATA, ML, GITHUB
Hackathon Tracks
Choose your track!
General Hackathon
"Make the World a Better Place" with Data and ML based Apps. Harness the power of data to address local community problems faced by students by developing tools to optimize education, support local businesses, or boost sustainability. Your insights could lead to real-world impact.
Learning Tracks
We are offering three exciting learning tracks to enhance your skills and knowledge! Intro to Data/ML engineering to uncover insights from data and make informed decisions. GitHub to learn how to use it and learn collaborative coding & version control. Dive into the DevOps track to explore the practices that bridge development and operations. These tracks are designed to provide a well-rounded learning experience for everyone!
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What if I do not have coding experience?Don't worry! Participants who want to participate in the hackathon are obviously welcome, however members without experience will be able to learn throughout the day by attending the tracks (presentations/workshops).
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What are the learning tracks?Tracks are just workshops that will be conducted throughout the day. There will be "DevOps", "Github" and "Intro to Data Analysis."
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How will projects be evaluated?Projects will be evaluated on Originality, Community Impact, Ease of Use, Technical Execution, and Information Value.
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Do I need a team to particpate?No, you do not need a team to participate. You will have the option to participate solo or in max teams of 4. However, there will be a period of time to find teammates.
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Will there be prizes for the winners?Yes, prizes will be awarded to all participants in the top 3 teams. Additionally, consolation prizes will be awarded to all participants who stay until the end of the event.
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Is food provided?Yes, we will provide lunch and snacks will be available throughout the day.
Venue
Sponsors
