A Python GUI app developed using PyQt5 software. Uses statsmodels to perform different types of regressions such as Linear, Logistic, Polynomial, and ElasticNet from a user inputted .csv or .xlsx file and matplotlib to visualize the regression by plotting the data and regression line. Prior to performing the regression, a preprocessing procedure is conducted on the raw data. User friendly UI that is easy to use and pleasant to look at.
Using pip:
pip install git+https://git@github.com/keviny2/Regression-App.git
- PyQt5
- seaborn
- pandas
- numpy
- sklearn
- matplotlib
- statsmodels
Simply run the command regression-app in the command line to run the application!
(base) kevin@LAPTOP-J06PC9QG:/mnt/c/Users/kevin/OneDrive/Documents/$ regression-app
