Logistic Regression Implementation in Python #### Dependencies required to run the code in your computer:
Python & Jupyter notebook.
I prefer to install them together as a single package called “JUPYTER“.
Project steps breakdown:
1.Import the dataset 2.Data analysis 3.Split features and labels 4.Scale the numerical features 5.Split training and testing set 6.Train a logistic regression model using data from training set 7.Predict the results for testing set 8.Calculate model accuracy