bcopeland64 / ml-zoomcamp

This repository holds all of the homework and projects for the course

Machine Learning Zoomcamp

Welcome to the Machine Learning Zoomcamp! This repository contains the code and materials for the ML Zoomcamp course, where you'll learn and practice machine learning concepts with hands-on examples.

Introduction

The Machine Learning Zoomcamp is an interactive course designed to provide a comprehensive introduction to machine learning concepts and practical applications. Whether you're a beginner or an experienced practitioner, you'll find valuable insights and hands-on exercises to enhance your skills.

Course Outline

The course is organized into multiple sections, covering topics such as:

• Introduction to Machine Learning
• Linear Regression
• Decision Trees and Random Forests
• XGBoost

And many more

Each section includes theory, practical examples, and hands-on exercises to reinforce your learning.

Resources

• Course Website
• Zoomcamp GitHub Repository

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