Binary-Classification-using-Logistic-Regression-and-Neural-Networks

Goal of this project

The goal of this project is to solve classification problems using logistic regression and neural networks. There are 2 parts to this analysis:

• Predict whether Ad was clicked on or not using logistic regression model and compute different metrics to evalute the model
• Predict synthetically generated data using neural network and compare it with logistic regression performance

Analysis 1 - Logistic regression decision boundary

Analysis 2 - Neural Network decision boundary

Data Source :

Advertising dataset from Kaggle

Links to artifacts

• Utility file
• Source code