Schoolwork--YRGO

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Schoolwork--YRGO

Author: Philip Öberg

Overview

This repository contains various schoolwork assignments and projects completed as part of my studies at YRGO. The focus of these projects is primarily on C++, Python, and C programming languages, with some projects exploring topics like machine learning and signal processing.

Repository Structure

The repository is structured into different directories, each containing relevant files and documentation for specific tasks:

ML/: Contains files related to machine learning assignments. Current work includes a linear regression program.
Python/: Contains Python programs showcasing various skills and applications.

Projects

Machine Learning (ML)

Linear Regression Program: A program that demonstrates basic machine learning principles using a simple linear regression model. Data import and manipulation are the main focus areas.

Python

Automation: Python scripts for automated systems (e.g., automated horse feeder) and other utility programs.
Signal Processing: Includes a frequency analysis output file (Frekvensanalys_output.txt) with updated value labels based on recent changes in signal processing experiments.

Technologies Used

C++
Python
C

How to Clone the Repository

To clone the repository, run the following command:

git clone https://github.com/PhilipOberg94/Schoolwork--YRGO.git

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Schoolwork--YRGO

Overview

Repository Structure

Projects

Machine Learning (ML)

Python

Technologies Used

How to Clone the Repository

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Schoolwork--YRGO

Overview

Repository Structure

Projects

Machine Learning (ML)

Python

Technologies Used

How to Clone the Repository