China showed the world how self belief can turn into power. India has even more people, even more potential. what's stopping us from doing the same?

getting back to my ml journey after a long break. mind was too distracted last few weeks, could not focus on anything properly. things feel lighter now so slowly picking it up again. also thinking to start dsa . if anyone got a good roadmap or tips, would mean a lot.

-Revised algorithm concepts in ml -Started reading hands-On ml with scikit-learn -Started DSA from scratch -Learned about time complexity and understood the proof of big O will go slow with dsa, not rushing anything. remind: don’t let peer pressure hit and rush things

Okay

-revised binary classification in ML -did some logic building questions -explored Kaggle and did EDA + analysis on NBA data

-Revise probability and solve some questions -Study space complexity and recursion in dsa -Learn multiclass classification in ml and evaluation metrics

Whoever programmed us? Man’s an unimaginable genius programmer.

-Finished Chapter 1 of Hands-On Machine Learning over the last two days -Did some recursion practice questions -Learned about hashing -Solved 2 LeetCode problems -Spent some time on Kaggle

Football is the best thing ever invented in human history Iylyk

got through part of Chapter 2 of hands On machine learning over the last two days -covered: big picture, framing the problem, performance measures, checking assumptions, getting the data, quick look at data and creating a test set -Solved 4 problems on leetcode

The more I read and think about philosophy the less I believe in the idea of a religious god. for me god is just the universe itself the one that created everything. Prayers and rituals just don't feel real to me.

kaggle is so time consuming man. I open it start working on data and 3-4 hours just fly by without me even realizing. But it's so much fun , I am really enjoying it.

How do you build domain knowledge that actually helps in ml projects ? need tips

my last 3 day update: - finished chapter 2 of Hands On machine learning - completed worldquant applied data science lab – housing in mexico lab - explored kaggle - solved 6 leetcode problems

Update (15th Aug – 19th Aug): busy with college work these days but still trying to stay consistent -started learning flask & sql -practiced 10 leetcode problems in the last 4 days -explored and did some practice on kaggle

Don’t aim for flawless. Aim for finished.

I have always been fit... now can’t wait to get jacked

let’s goo......

Don’t chase intensity early, chase repetition. Neural circuits strengthen through frequency, not force. Show up daily, even at 20% capacity, and the loop solidifies. Momentum is the compound interest of consistency; small deposits over prolonged procrastination.