Download Free Applied Machine Learning Course 2024

Learn machine learning with free premium video classes and download the 2024 ML course to master real-world techniques

Applied Machine Learning: Foundations (2024) Overview:

Applied Machine Learning: Foundations (2024) offers a premium video course completely free for anyone who wants to break into the world of machine learning. Instructor Matt Harrison uses Python to teach the essential stages of machine learning projects. This includes working with data, training models, evaluating outcomes, and tuning performance using MLFlow. The course not only introduces theoretical concepts but also shows how to implement them through practical examples.

With a total duration of 2 hours and 17 minutes, this course builds your skills from the ground up. Learners actively participate by completing coding challenges after each section. The hands-on approach ensures that you understand the entire ML pipeline—from data exploration to model deployment. Whether you’re an IT professional or a beginner in ML, this course gives you the foundation to work with AI in real-world applications.

This free ML course helps you understand, build, and deploy models with confidence.

What You’ll Learn in Applied Machine Learning: Foundations:

Understand the machine learning workflow from start to finish
Explore and process datasets for better model accuracy
Build and evaluate machine learning models using Python
Improve model performance through tuning and validation
Deploy models using MLFlow in practical environments

Course Highlights:

Instructor Expertise: Taught by Matt Harrison, an experienced Python and ML expert
Hands-On Learning: Practice challenges at the end of each module
Practical Tools: MLFlow integration for real-world deployment
Free Access: Premium content available at zero cost
Short Duration: Complete the full course in just over two hours

Applied ML 2024 Information:

Created by Matt Harrison and published by LinkedIn in May 2024, Applied Machine Learning: Foundations introduces learners to core machine learning techniques. The course covers essential topics including data processing, model evaluation, and deployment. It’s designed in English and available in compressed file formats (.rar / .zip), with a total size of just 370 MB. Tagged under IT & Software, this course suits those interested in machine learning algorithms and AI-powered solutions. Anyone can download it freely and start learning right away, making it perfect for IT learners and developers who want to advance in ML.