Project 8 Part 1: Logistic Regression - Python

Welcome Hi again, hi again! If you've been catching up with my blog, thanks for your continuous support If you're new here, thank you for giving my blog a chance Since I started learning R, I've thought about making code comparisons between Python and R. Concidentally, I've also started learning machine learning so I thought... why not try and compare machine learning codes between Python and R! So far, I've learned how to build logistic regression models using Python and R. Project 8 is divided into parts 1 and 2 where the codes using Python and R will be described respectively. I will be using the Iris dataset to demonstrate how the codes work If you're someone who requires assistive software to read, I suggest downloading the PDF documents to read the codes. Python - Jupyter Notebook For this project, I built a logistic regression model using sklearn. For starters, the packages I used were Pandas, Numpy, Scipy, Sklearn, and matplotlib.