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MathML assignments + kaggle challenges #27

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@aakashks aakashks commented Jul 1, 2023

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aakashks and others added 30 commits April 28, 2023 20:52
assumes packages installed, takes input from user and logs it.
wanted to fix some github issue.
have to minimize the estimate
* gradient ascent functions

going to delete stepwise functions
instead will be doing everything in one function

* attempted batchGD

* failing to converge

* changes

* added q2 data

* lr on datasets

* plotted error hist2d

* added error term in the training df

* 2B-q2 done

* refreshed outputs

* q1 a and b done

* q1 done

* going to rewrite the whole notebook  q3

* q3 done. fixed gradient issue causing main problem

was doing a blunder by calculating scalar gradient instead of dim 2,

* q4 done

* did work but stochastic taking lot of time

* 2A q4 done
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@divo12
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divo12 commented Jul 8, 2023

Hey @aakashks
Nice work, was going through your assignment 2B. really liked your mathematical insights and steps
Some suggestions from my side
Can you answer the theory solutions of 1a and 1b with respect to parameter estimation and concept of population and sample mean.
Secondly I am not sure of the poisson equation which you made while starting the poisson section- can you explain me why did you write that equation?
Great work in Q2 really liked your statistical approach towards finding the actual dataset
@FireShadow05 @Anvadya can you further review his assignment?

@aakashks aakashks changed the title completed all Math ML assignments MathML assignments + kaggle challenges Aug 17, 2023
@aakashks
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As this PR is yet to be merged, I am not making a new one for Kaggle challenges.

@divo12
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divo12 commented Aug 20, 2023

Hey @aakashks please remove the raw csv files
We just need your submission code

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Hey @aakashks please remove the raw csv files
We just need your submission code

Done!

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2 participants