Practiced data visualization with Matplotlib by creating Line, Histogram, and Box plots to analyze salary data.
Focused on understanding trends, distributions, and data spread as part of my EDA journey.
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Kaushin retweeted
after a lot of convincing, finally my two home boys and my friend @Neelaksh1402 @sudoHireMe @Pavani0826 have joined x.
ai engineer, ml engineer and devops engineer.
they go gym and code a lot.
(i was in a gun point, to post this :p)
Just implemented Multiple Linear Regression from first principles using NumPy
Instead of using Scikit-learn, I built the model using the Normal Equation:
w = (XᵀX)⁻¹Xᵀy
Learned how bias, weights, matrix multiplication, transposes, and predictions all connect together.
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Kaushin retweeted
good morning chat!
so goal for august roughly is to:
- get better at ml
- publish two technical blogs (already know what to write)
- one implementation which i am thinking about
- papers/blogs whatever seems to be interesting
- focus on health
Behind every AI model is a lot of mathematics.
Learning the theory. Implementing it with NumPy.
import numpy as np
learning += 1
confidence += 1
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Kaushin retweeted
there's so much to learn - everytime i see a job posting from a big company or even a mid size company, i don't feel confident at all, when i go through the "things you should know" section of the posting - i observe that i am not exceptionally good at any of them.
goal for the upcoming few months is simple - if i see any hiring posts with my roles - i will be confident enough to aplly and crack it.
Kaushin retweeted
i haven't been active on twitter these days so thought will give you guys a little update.
past months i haven't been able to learn something substantial but rather gave everything to my company (which i am proud of).
but now as things settle down i have made up my mind to post regularly and learn extensively.
i somehow really got interested in the ml field, so will be learning that for a while.
also i have revamped my portfolio: vedanshh.com
proof that i am alive and happy :)












