Linear_Regression_Analysis using Y = MX + C

Introduction

• Project Team Members
  • Muhammad Awaiz Qayyum Malik
  • Talha Shakeel
  • Bilal Abid
  • Danyal Fahim
• In the Project we will be using five Dataset files .csv with the help of Modular Programming, we will apply Linear Regression on each of them.
  • Pakistan Population
  • Japan Life Expectancy
  • Pakistan Unemployment
  • Price vs Area
  • Salary vs Experience
• We will be using the concept of Functional Programming to train Model for each dataset, their weights and bias will be saved so we can reuse trained model for our Future Testing and Predictions.
• Each header file will be then used in our winform cpp along with images illustrations created on Adobe Illustrator to create a User Interface for Making Prediction on our trained model.
• In the end we will visualise the training of dataset on graph

Information about the above files

Project

If you want to Run the project without building files, then access the Form.exe and Graph.exe to run the project directly

Regression Analysis

If you want to Load this project to your system, we will be talking about how to load it on Visual Studio

• Install .Net Framework 4.7 or higher, Visual Studio 2019 or higher
• You can visit to this website for further and small detail of how to setup winform c++ project Setup Winform in Visual Studio for c++ or visit this video turtorial for furthur details
• Your main cpp should be the same as this Mainform.cpp
• You can use the pngs provided at PNGS folder or create your own images :)
• You can check out this blog incase you want to learn How to Implement Linear Regression in Pytorch
• After adding those files build the project and Enjoy!!!

Graph

If you want to visualize the Graphical Analysis

• Download Matplot++ use it via cmake or vcpkg in your project, also download GNUPLOT and add to enviornment variable to view graphs.
• Run the Graph.cpp which will show the graph for desire dataset you want to see.