/machine-learning-for-real-world-data-analysis

Machine learning practical application, using Python to implement algorithms and methodologies for real-world data analysis, with comprehensive resources and online tools.

Primary LanguageJupyter Notebook

Machine Learning with a focus on practical applications for real-world data analysis

Overview

My coursework and project for Machine Learning course at the SDU.

Description

Applying machine learning algorithms in Python, covering topics from basic machine learning fundamentals to advanced algorithms. Emphasized to demonstrate real-world application of the concepts learned.

Technologies Used

  • Python: Main programming language.
  • Libraries: pandas, numpy, scikit-learn, TensorFlow.
  • Tools: Jupyter Notebook, Anaconda.

Projects

Each folder in this repository represents projects and assignments completed throughout the course:

  • project_1: Introduction to Machine Learning Basics.
  • project_2: Supervised and Unsupervised Learning.
  • Further projects explore Deep Learning, Model Evaluation, and Automated ML techniques.

Installation

To run the projects locally:

git clone <repository-url>
cd <repository-name>
pip install -r requirements.txt