Heyy Tech Twitter, My name is Vinay and I'm a 2nd yr CSE student. I'm really passionate about ML, fitness and Computers & tech in general. Starting my #100DaysOfCode/#100daysofml journey from today and will share what I learn in ML and DSA daily here.
Lets connect.
🙂✌️
#100DaysOfCode/#100DaysOfML day 94
ML - gradient descent for logistic regression and its formula derivation and some eda project work.
DSA - solved 'validate bst'(brute force)
#LearnInPublic#DSA
#100DaysOfCode/#100DaysOfML day 93
ML - loss and cost function for logistic regression and its simplified version.
DSA - inorder successor/predecessor in bst, deleting a node in bst.
Gym - back, biceps
#LearnInPublic#DSA
#100DaysOfCode/#100DaysOfML day 92
ML - decision boundary for logistric regression
DSA -tried "delete a node in bst"
(again spent a full day(10am-10:30pm) at my fathers shop, and honestly can't blame anyone for still not being able to get out of this place)
#LearnInPublic#DSA
#100DaysOfCode/#100DaysOfML day 91
ML - started classification, logistic regression.
DSA - started binary search tree=> basics and implementation. Level order, preorder, inorder, postorder traversal using recursion
solved-> insert in bst, search in bst.
#LearnInPublic#DSA
#100DaysOfCode/#100DaysOfML day 90
ML - feature engineering, polynomial regression; EDA project- data cleaning done, actual eda started
DSA-
solved-> Path sum, Path sum II, flatten binary tree into Linked List
Gym- Chest, triceps
(played teen-patti with cousins)
#LearnInPublic
education minister has received a lot of ire, rightfully so.
from botched exams to new UGC laws, even core BJP supporters were against him.
now, this cockroach janta party has ensured that his seat will be safe for a while.
#100DaysOfCode/#100DaysOfML day 89
ML - feature scaling, checking gradient descent for convergence, choosing a good learning rate, lots of eda project work
DSA-
solved-> binary tree paths, sum of longest bloodline,
Lowest common ancestor(LCA) in binary tree
#LearnInPublic#DSA
#100DaysOfCode/#100DaysOfML day 88
ML - multiple linear regression, vectorization and gradient descent for multiple features, some eda work
DSA-
solved-> zigzag order traversal, constructing b.t from inorder and postorder traversal
Gym- back, biceps
#LearnInPublic#DSA
#100DaysOfCode/#100DaysOfML day 87
ML - updating parameters using gradient descent, env setup and started my first eda project
DSA-
solved-> binary tree pruning, symmetric tree
tried->zigzag traversal
(which platform do you use for data analysis??)
#LearnInPublic#DSA
#100DaysOfCode/#100DaysOfML day 86
ML -cost function, its visualization wrt the parameter values, started eda on netflix dataset.
DSA-
->Univalued binary tree
->max binary tree (O(n^2) solution but did it myself)
Gym- Legs & shoulders
#LearnInPublic#DSA
LIKE. SHARE. SUBSCRIBE
#100DaysOfCode/#100DaysOfML day 84
ML - started stanfords CS229 ML course
DSA - solved "same tree" problem
(spent the full day at my fathers shop, was completely drained, but my last 2 posts got 5 likes, so I had to do it, couldn't betray my audience🧡😭)
#LearnInPublic#DSA
and now I'm not sure what exactly to do next. I've learned basic maths and its application in these courses,and I will learn more maths as needed. I think I should learn more data analytics work or make some data science projects, or maybe take some ML course idk.
Pls guide...🙏
#100DaysOfCode/#100DaysOfML day 83
ML - completed all pending lectures, labs, assignments of the stats and prob. course and FINALLY COMPLETED THE MATHS FOR ML AND DS SPECIALIZATION COURSE SERIES
DSA - solved balanced binary tree problem
Gym - back & biceps
#LearnInPublic#DSA
and now I'm not sure what exactly to do next. I've learned basic maths and its application in these courses,and I will learn more maths as needed. I think I should learn more data analytics work or make some data science projects, or maybe take some ML course idk.
Pls guide...🙏
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