Machine Learning - Logistic Regression

Facebook--PredictCustumer-Click

Background

Running a targetted marketing ads on facebook. The company wants to anaylze customer behaviour by predicting which customer clicks on the advertisement. Customer data is as follows:

Inputs:

Name
e-mail
Country
Time on Facebook
Estimated Salary (derived from other parameters)

Goals

Split the data in Train and Test
Train and Test the model in the data set
Visualize
Predict Click on the ad

How to run

Open Google Colab https://colab.research.google.com/

File
Upload Notebook
Run the Cells

Proccess

Import the data set and visualize the data

With Scatter plot

With Box plot

With Histogram

Transforming the data and Executing a training Test

With Confusion Matrix, checking on the accuracy

ploting the boundary using the trained classifier

Run the classifier to predict the outcome on all pixels with resolution of 0.01
Colouring the pixels with 0 or 1
If classified as 0 it will be magenta, and if it is classified as 1 it will be shown in blue

Ploting all the actual training points