Ashish Kumar

Day 1 of Machine Learning (with Prime Batch) Started with Supervised Learning Learned linear regression – understood best fit line and cost function at intuition level. Tried to actually understand things instead of just following the lecture. @ShradhaKhapra_ @ApnacollegeX

@Nileshthipe19 Keep going! Day 84 is impressive 🔥

Day 84 of #100DaysOfCode 🚀 Solved today’s GFG POTD — Mother Vertex 🌐 Used DFS to find a potential mother vertex and then verified whether it can reach every node in the graph ✅ #GFGPOTD #GeeksforGeeks #DSA #CPP

@Nileshthipe19 Seeing your consistency is motivating 🚀

Day 83 of #100DaysOfCode 🚀 Solved today’s GFG POTD — Range LCM Queries Initial brute-force solution failed on the last test case due to TLE Optimized it using a Segment Tree for efficient range LCM queries and updates #GFGPOTD #GeeksforGeeks #DSA #CPP

@Nileshthipe19 Sounds like a smart approach 👌🏼

Day 82 of #100DaysOfCode 🚀 Finally optimized today’s GFG POTD — Palindrome Pairs Brute force passed most test cases but gave TLE at the end Used hashing + palindrome splitting approach to reduce complexity and get AC #GFGPOTD #GeeksforGeeks #DSA #CPP

@MananCodes123 @iamsaniydv Future CEO loading....

@iamsaniydv Apna Startup

Which of these would you like to do • Doctor • Engineer • Sarkari Naukari • Apna Startup #NEET

Day 5 of Machine Learning. Learned the intuition behind Logistic Regression and understood the Sigmoid Function. Ended the session by implementing Logistic Regression. #DataScience #AI

Day 4 of ML. Had an inconsistency for a few days, but restarted again. Covered: • Underfitting • Overfitting • Lasso Regression • Ridge Regression Trying to focus more on consistency now.

@Geetanshu11291 Anytime !Your consistency is motivating me too😊

@ashish_learns Thanks bhai

Day:-32 of maintaining @LeetCodestreak 🏆. 1. LeetCode 705{HASHSET}. #366daysofleetcode #366daysofconsistency

@anand04_vs Same here, trying to avoid procrastination 😅 let's stay consistent..

#day3 of 180 day of code today task :- complete lecture , try to do more work rather than procrastination , <2hr sitting , #cohort2026

@anand04_vs Keep pushing 💪🏼

#day2of180daycode challenge DAY 2: today task : dry run code : finish lecture : 1 blog DISCIPLINE < consistency be consistent over one habit automatically 10 bad habit gone now you are discipline too #cohort2026

@anand04_vs Nice start 🙌🏼, keep going

#day1 of 180 day code challenge (lot of backlog) today task :- lecture , Momentum beats motivation every time--- 1 big win <10 tiny wins #cohort2026

@soudamini_rath Thanks 😊

@ashish_learns Great👏

Day 3 of Machine Learning Missed the last 2 days due to power cuts. Used today to revise previous lectures to strengthen my basics. Tried a mini project (House Price Prediction) – couldn't complete it yet. Still learning. Back on track.

@Geetanshu11291 @CoderArmy @rohit_negi9 Solid grind, all the best for exams

Day 8 of preparing for placements🏆. 1. Lecture on Vectors in Gen Ai @CoderArmy @rohit_negi9 2.Python for mid term exams #366daysofconsistency #dsa #genai

@Geetanshu11291 Respect the discipline bhai ji 👏🏻

Day:-31 of maintaining @LeetCodestreak 🏆. 1. Leetcode 27 2. Leetcode 169 #366daysofleetcode #366daysofconsistency

@debugingwithsim That's not a topic, that's a trap 😭

Explain recursion to a 10 year old🤔

@DanKornas This is useful info, especially for someone learning AI like me 👍🏼

Deep Lake database stores AI data, vectors, and multimodal training datasets.

@soudamini_rath Nice consistency 🙌🏼 learning from you

Day 31 of #100DaysOfCode 📚 Focused on exam preparation — revised DBMS and Data Science concepts. 📊 Revisited R language basics. 🗄️ Revised SQL concepts — DDL, DML, and DQL. 🚀

@MananCodes123 Lage raho 🔥

Day 9 🚀 Started learning Flexbox basics and improved my landing page to see real-world changes 🎨 Layouts are starting to make more sense now. Keep learning, keep building aiming to become a Freelance Full Stack Developer in 1 year 💪 #BuildInPublic #CSS #Flexbox #WebDevJourney

Day 2 of ML Learned gradient descent and implemented linear regression Also explored regression metrics Though I'd have to manually do all the maths(best fit line, cost function, gradients).. but it all happened automatically during implementation. Really interesting to see.