Skip to content

This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.

Notifications You must be signed in to change notification settings

AhmedWageh97/Machine-Learning-Projects

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

20 Commits
 
 
 
 
 
 

Repository files navigation

Machine-Learning-Projects

This repository contains some machine learning projects as a practise on machine learning course on Coursera for Prof. Andrew Ng from Stanford University.

Requirements

  • PC
  • MATLAB or Octave

Projects

  • Project1: Purchase Prediction Project : *This project is an application on Classification using Logistic Regression algorithm. We have dataset for people who purchased a specific production. We have ID, Gender(1 for males and 0 for females), Age, Salary and purchase status (1 for purchasing and 0 for not). we need to classify it by Age and salary for purchased and not purchased people and develop our prediction model depend on the given dataset. I used people whose age is dividabe by 2 as a Training Set and tested my model by people whose age is not dividabe by 2 as a Test set.
    • To test this run Purchase.m script on MATLAB or Octave, but make sure that all files in your directory.
    • After that you would show 2 figures: Figure1 and Figure2.
    • I also calculated the accuracy of the model after testing the training set and print it to the workspace.

Coursera course Assignments