Krish Puri

I have been given the chance to represent @Meta for the Impact AI Summit. And for that I got to visit the meta office and learned about the products. And most of all met some amazing people!!😆 Looking forward to the summit!! Do visit us!

Another 10 pages in Mastery book What I inferred- -Everyone has to go through an apprenticeship phase for mastery Phase divided into steps 1.Deep Observation-Passive mode 2.Skill Acquisition-Practice mode 3.Experimentation-Active mode Onto the next set of insights! ;)

Attended extra class of #100xbootcamp taken by @khairrishi about The Approach to Building an Application Learnings- -Project vs Product mindset -User journey map -ownership of features -The iceberg principle -Taste is not personal preference Session was great! Onto the next :)

@samsonA535 Hi!

Currently reading the book - Mastery by Robert Greene. 60 pages in and it’s like my perspective has started to broaden up. Initial ideas revolve around how each of us are genetically unique and each have their own vocation. It’s a matter of time until you and I truly find ours

Had my first lecture of the 100xbootcamp! Here’s how it went- -Dealt mostly with the history of ai and where we stand now. - @rishabh10x did a great job explaining the evolutionary stages of ai with vector embedding, RNNs, Transformers and attention! Onto the next one! ;)

Been a while since I last posted something What I’m upto in 2026? Joined the #100xBootcamp by @kirat_tw and @rishabh10x So excited for the journey!

Today’s Learning - Data Science ->Learned about the Naive Bayes theorem in ML DSA ->Solved two leetcode medium questions on array (I realised I hate matrix questions😭😭) Downer for today- ->Didn’t keep my goals a priority and instead made someone else’s. Surely learned a lot!

Today’s learning - Data Science ->Learned about how Eigen values and Eigen vectors can help reduce the number of features of our dataset. DSA ->Solved one leetcode easy and one medium on arrays Today’s Downer? ->Slept for too long😭😭 Sleep would be the end of me🫠 #ML #DSA

@RamanRjha4647 For sure!!

@KrishhPuri Keep grinding 🔥 let's connect 🤝

Today’s learning - ->Studied what are the redundancy techniques in ML. ->Did 3 medium leetcode questions on Array data structure. What was a downer? ->Went to college. Utter time waste. But used it smartly to complete assignments and hand them over. #LearnInPublic #DSA #ML

Okay so what I’ve been upto these last couple of days? -> Started with the striver Dsa A2Z Sheet and I must say it’s going pretty well, along with my data science journey Currently solving the medium array problems -> will be updating my progress regularly💪 #DSA #striver #ML

Started reading Money:Matser the Game by Tony Robbins and damn it is good! Will def make a dedicated tweet about its review!

Been inactive on twitter for past couple of days… Been starting on different things Regular updates coming soon..stay tuned!

Explored decision trees today in ML It’s a model that splits data into smaller and smaller groups based on decision rules. Every node includes- -One feature -Splits data into branches -Ends in leaf node giving prediction Next Gini and Entropy #ML #DataScience #LearnInPublic

@Divyansh_S28 Have to be consistent with that then!

@KrishhPuri Striver sheet, if you are beginner

What do you think is the best resource to study Dsa in Java?

Understood the power of decision threshold in plotting of the ROC curve! Damn it’s important - High threshold: More false positives- Use case in Healthcare (must) Low threshold: More false negatives- Use case in spam detection What do you guys think other use cases are?

Okay ready to learn about decision tree in ML Any tips???

Learned about the ROC-AUC Curve today! Think of it as your model’s lie detector 🤖 📉 ROC = Tradeoff between TPR & FPR 🏆 AUC = Score from 0 to 1 (closer to 1 = better!) Helps you visually judge how well your classifier performs 💯 #MachineLearning #DataScience #100DaysOfCode