This repository is an example of using Logistic Regression in Machine Learning

This repository is in Python3. the other requirements are NumPy and Mathplotlib

The program using datasets from dataset.csv to train this. After training, computer computes theta vector to predict

To run this example, run the main.py file using Python 3

python3 main.py

The output will look like this

LOADING DATA...COMPLETE
INITALISE MACHINECOMPLETE
LEARNING...COMPLETE
THETA = [[-134.92335074]
 [  12.00462837]
 [  78.50641455]]
COMPUTE COST = 0.00(ALPHA = 10.00, NUMBER OF ITERATOR = 500.00)
DISPLAY PLOT:
	FIGURE 1: DISPLAY RESULT
	FIGURE 2: LEARNING PROGRESS

Plots:

Prediction plot

Learning progress plot