[EXE] Logistic Regression from scratch

iamarpan commented 3 years ago

Learning Goals

Implement logistic regression from scratch using numpy

Exercise Statement

The exercise will focus on implementing logistic regression model using a single sigmoid neuron.

Prerequisites

Basic knowlegde of numpy, pandas and matplotlib
anaconda installed to run jupyter notebook

Data source/summary:

Data were extracted from images that were taken from genuine and forged banknote-like specimens. For digitization, an industrial camera usually used for print inspection was used. The final images have 400x 400 pixels. Due to the object lens and distance to the investigated object gray-scale pictures with a resolution of about 660 dpi were gained. Wavelet Transform tool were used to extract features from images.
The dataset is available on UCL reporsitory

(Optional) Suggest/Propose Solutions

I have implemented ipython notebook to implement it from scratch.

(Optional) Further Links/Credits to Relevant Resources:

[e.g. This exercise and solution's proposal came from a lab session from DL2020]

gimseng commented 3 years ago

Great idea @iamarpan ! Please submit a PR when you are ready, but do read through the contributing guidelines and look at how some of the other projects are organized. Many thanks !

ksdkamesh99 commented 3 years ago

Could you assign it to me @gimseng

gimseng commented 3 years ago

Hi @ksdkamesh99, thanks for the interest to contribute. Let me check with @iamarpan on the progress. If its almost done, then my apology, perhaps its best for @iamarpan to finish up. If its half/not much done, maybe @iamarpan and @ksdkamesh99 could collaborate? I'll let both of you comment here / discuss on discord to see how best to proceed.

iamarpan commented 3 years ago

@gimseng I am almost done with the project. I'll raise a pr this weekend. @ksdkamesh99 would love to collaborate with you, you can review my pr(once it's raised) and add your suggestions or improvements.

gimseng commented 3 years ago

Great @iamarpan thanks for the contribution and update ! I'll let both of you take it from here. Feel free to comment/discuss here or in our discord channel. Thanks !

Mridul20 commented 3 years ago

Can I contribute to this task @gimseng

Mridul20 commented 3 years ago

I have an idea of implementing a simpler logistic regression model example like cancer survial using sklearn and include some data preprocessing steps.

ksdkamesh99 commented 3 years ago

@iamarpan There is no progress from your side so can i start

iamarpan commented 3 years ago

@ksdkamesh99 yes you can go forward with this one

shivang8 commented 3 years ago

@iamarpan I am interested in working on this part.

Moddy2024 commented 1 year ago

@gimseng Hi I want to contribute to this repo for hacktoberfest 2022.

gimseng / 99-ML-Learning-Projects