Please RSVP via the google form (instead of meetup): https://forms.gle/p5KxwS2RGePcUJJD9 .
You can join our slack community using this link: http://dsnet.org/ .
We will be sending out confirmation emails by Thursday (12th September) EOD.
Request: Please bring your (charged) laptops for the workshops (if you're looking to participate)
About Kaggle Days Meetup: Kaggle Days Meetups are a series of events all over the world, created by Kaggle and LogicAI, that aim to gather Kagglers and people interested in Data Science around one city.
We're really excited to host the first KaggleDays Meetup, Beginners Track!
The event will be for 2 full days, you can find all the details below:
Schedule: September 14th-15th
10 AM - 5 PM
Rohan Rao: Kaggle GrandMaster, H2o.ai Data Scientist
Talk: "On-Kaggle Vs Off-Kaggle"
About: The differences, positives, and negatives of Data Science On and off Kaggle, and why both should be balanced.
Aakash Nain: Kaggle Expert, Research Engineer at Ola
Talk Theme: "Is model.fit() enough?"
About: Is building models sufficient skill for deep learning engineers? Are you thinking thoroughly to apply deep learning to your next project? And what are the different real-world scenarios of deep learning that you aren't probably aware of?
Mohammad Shahebaz: Kaggle x2 Master, Data Analyst at Societe General
Talk Theme: Feature Engineering To Crack Top 1% Private LB on Kaggle
About: Have you ever wondered why the features you make end up overfitting or not again significant jump on Kaggle's leaderboard. Is private leaderboard a challenging ladder to climb? Join on the 1-hour session with Mohammad Shahebaz where he explains his experiences with feature engineering and learn how to approach your next Kaggle competition.
Sanyam Bhutani: Kaggle x3 Expert, Data Science Engineer at Swiftace
Talk: How to track ML Experiments Effectively
"The usual pipeline for working on a machine learning experiment is very different from Software Engineering. This talk will be highlights of Tracking the experiments and the iterative nature of the same effect inside of a Jupyter notebook, how to effectively apply these ideas to Kaggle competitions and make these work with data science teams."
1. Analyzing your WhatsApp chats
2. Getting Started with Kaggle Workshop, Hackathon
10 AM - 10:30 AM: Introduction, about KD Meetup, DSNet
10:30 AM - 11:30 AM: Rohan Rao: Talk: "On-Kaggle Vs Off-Kaggle (Data Science)"
11:30 AM - 12:30 PM: Aakash Nain: "Is model.fit() enough?"
12:30 PM - 2:00 PM Lunch (won't be provided)
2 PM - 5 PM: Workshop: "Understanding your WhatsApp chat data"
10 AM - 11 AM: Mohammad Shahebaz, Talk: Feature Engineering To Crack Top 1% Private LB on Kaggle
11:00 AM - 12:00 PM Sanyam Bhutani, Talk: How to track your ML Experiments
12:00 PM - 12:30 PM Usha Rengaraju- Demystfying SVM
12:30 PM - 1:30 PM Lunch (won't be provided)
1:30 PM - 5 PM: Workshop, Hackathon: Getting started with Kaggle Competition (More details will be announced at the event)