DHOLI UTHANA 15.12
Dhurandhar emerges an All Time Blockbuster
🏏IPL 2026 Mega Auction: The Battle for Cricket’s Brightest Stars🌟
RINGS PE CRINGE 16.12
CID Episode 104 - 14th December
Rob Reiner and his wife found dead
Karan Nandini to join post leap?
Abhiara’s Marriage
Dharundar reduced Tere Ishq Mein to ashes..should Kartik be worried?
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Ranveers PRALAY to roll after Don 3
Filmfare OTT awards 2025 (Alia, Vicky, Ananya.etc).
Out Now - Official Teaser - Border 2 - Sunny Deol
In a 2022 interview, Ranveer disagreed with 8 hour shifts
Hey! 😊 I’m Ruhi.
When I started looking into data science, I found it easiest to break it down into steps. I first learned some Python basics, then got comfortable with Pandas and Matplotlib to play with datasets. After that, I brushed up on stats (mean, median, probability, correlation) and slowly moved into simple machine learning models like regression and decision trees.
The biggest help was working on small projects from Kaggle — like predicting house prices or analysing tweets — and sharing them on GitHub. It’s a great way to learn while building a portfolio.
If you’re just starting, I’d suggest: start with Python → practice with data → learn some stats → try basic ML → keep building projects.
Honestly, data science is quite tough it was one of the hardest subjects for me back in university. I usually learned most of the concepts from YouTube; there are some really great channels that explain things in a simple, practical way.
