Skip to content

Latest commit

 

History

History
62 lines (44 loc) · 1.74 KB

README.md

File metadata and controls

62 lines (44 loc) · 1.74 KB

Comparing Different Sklearn Algorithms

Demo

Launch the web app:

Streamlit App

Algorithms Implemented

  • KNN - K Nearest Neighbors
  • SVM - Support Vector Machine
  • LR - Logistic Regression

Datasets Used

Reproducing this web app

To recreate this web app on your own computer, do the following.

Create conda environment

Firstly, we will create a conda environment called cdsaenv

conda create -n cdsaenv python=3.7.9

Secondly, we will login to the cdsaenv environement

conda activate cdsaenv

Install prerequisite libraries

Download requirements.txt file

https://github.com/psyduck1203/CDSA/requirements.txt

Pip install libraries

pip install -r requirements.txt

Major libraries required

Download and unzip this repo

Download this repo and unzip as your working directory.

Launch the app

streamlit run app.py