Machine Learning

Your Progress

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Learning goals

Explore ML techniques and innovative ML approaches like deep learning and neural networks as well.

Suggested prerequisites

A curiosity of machine learning tools and technologies.

Intro to ML

Just getting started with Machine Learning? Start building a foundational knowledge of ML concepts here.

Machine Learning

What is Machine Learning?
- Machine Learning

Some Background

Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.

Machine Learning

What's Kaggle?
- Machine Learning
- Kaggle

Pretrained Models

Explore several Machine Learning APIs—sets of tools and protocols used for building software and models—which help machine learning developers communicate with each other and share knowledge across various platforms.

Machine Learning

Machine Learning APIs by example
- Machine Learning
- Pretrained Models

AutoML

Automated machine learning (AutoML) enables even non-experts to apply machine learning models and techniques to real-world problems.

Machine Learning

AutoML Vision — Part 1
- Machine Learning
- AutoML

How is ML Done

How does machine learning work in practice?

Machine Learning

A visual intro to ML with decision trees
- Machine Learning
- Decision Trees

Beginner Projects

Explore Kaggle competition challenges and solutions for a deeper understanding of machine learning and data science.

Machine Learning

Data Science projects for beginners
- Machine Learning
- Kaggle

Advanced Topics

With more machine learning knowledge under your belt, now's your chance to dive deeper into more complex topics.

Machine Learning

Introduction to Machine Learning problem framing
- Machine Learning
- Hypothesis Testing