Ch-1 of Linear algebra and its application by Gilbert starang:. Done so far:-. >Problem set 1.2 {23 Q}.>Theory of 1.3.>Problem set 1.3 till 5th Q. >Let's continue the Deep Learning lecture { ' - ' }

Continuing Ch-1 of Linear algebra course by Gilbert starang:. Done so far:-.>Problem set 1.3 { 6-17 }. >Not even average in maths Ig I am. >Let's continue the next lecture from 18.06 { ' - ' }. >More questions later.

Day 56 of ml. 7 hours. >Connected Post stuff.>2 Lec of LA from 18.06 mit -Gilbert strang <as the gives more deep understanding>.>from now on i will take lecture from this playlist & solve question from book.>A little intro video on deep learning from deepmind playlist .<MathsDay>

IF YOUR ENVIRONMENT IS SIMPLE THIS TERM WILL BIG . IF ENVIRONMENT IS COMPLEX THIS TERM WILL BE SMALLER. BASIC TERMINOLOGY OF REENFORCEMT LEARNING.<SIMPLER ENVIRONMENT FOR YOUR AGENT->BETTER RESULT .COMPLEX ENVIRONMENT NOT THAT GREAT RESULTS>. { Know my Handwriting is Bad }

Formula of Intelligence

GM Learners.<My Every morning begins with all my regrets. >Why I wasted my whole academic years.>Why I never hit the gym or any sport in my childhood.>Why I wasted my drop year , 1st year for CGPA/SGPA. >.THESE REGRETS BURNING ME EVERYDAY. <NOW I USING THESE AS MY FUEL>

Day 55 of ml. 4 hours. > Maths Starting with Gilbert strang book Ch-1 problem set 1 q-13{2 hours}.>GDA--> 1.5 {hours}.>Intro to Neural Network {0.5 hour}.<GN>

RT @d4rsh_tw: Wrote a blog on Neural Network, check it out!❤️

Done so far. >Gaussian discrement analysis (GDA). >Bad in mathematics but still start Gilbert starang book. Only solved few questions. But I will complete this book under some months. >Finally starting Deep Learning.

Day 54 of ml .> Connected post stuff.>ANOVA.>P_value test.

RT @Gigglegang16: When you understand the game you don't panic.

RT @d4rsh_tw: Lemme make your tl better, follow these handles. for ai/ml/dl.@karpathy.@TivadarDanka.@rasbt.@omarsar0.@GaryMarcus.@KirkDBorn….

Continuing Feature engineering Today.<DONE>.>Fisher's Score.>variance threshold.>Mutual information.>Fisher exact.</DONE>

GM .Time to finish. So we can start new things without regret 💯

Day 53 of ml. 2 hours. >Completed Deap { python library { Genetic algorithm } } --> Feature selection technique.> implemented on Titanic dataset. >Learn about tensors.>Nothing much :(. { GN }

RT @akshaymarch7: Happy Nag Panchami to all the Python Developers. 🐍.

Thank everyone 🙏🏻😊.Finally 250 ho gaye 😭. @d4rsh_tw Thanks for being my 250th follower, buddy. I will never forget you🥹.

There was a time I thought about what a cracked coder vscode looks like . Now I got my answer. Crack minded people 😂 😜.

R u sure

I wish I will see such things in real life 💗.