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Machine Learning Courses

Machine learning courses cover algorithms and concepts for enabling computers to learn from data and make decisions without explicit programming. Build your skills in NLP, deep learning, MLOps and more.
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Recommended for Machine Learning beginners

Build your Machine Learning skills with interactive courses, curated by real-world experts

course

Understanding Machine Learning

BeginnerSkill Level
2 hours
8K
An introduction to machine learning with no coding involved.

track

Machine Learning Fundamentals in Python

16 hours
465
Learn the art of Machine Learning and come away as a boss at prediction, pattern recognition, and the beginnings of Deep and Reinforcement Learning.

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68 results

course

Supervised Learning with scikit-learn

IntermediateSkill Level
4 hours
6.6K
Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

course

Unsupervised Learning in Python

IntermediateSkill Level
4 hours
3.6K
Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

course

MLOps Concepts

IntermediateSkill Level
2 hours
1.2K
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

course

End-to-End Machine Learning

IntermediateSkill Level
4 hours
523
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.
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Related resources on Machine Learning

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How to Become a Machine Learning Engineer in 2024

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Kurtis Pykes

18 min

Machine Learning

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25 Machine Learning Projects for All Levels

Machine learning projects for beginners, final year students, and professionals. The list consists of guided projects, tutorials, and example source code.
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Abid Ali Awan

15 min

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Top 12 Machine Learning Engineer Skills To Start Your Career

Master these skills to become a job-ready machine learning engineer in 2024.
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Ready to apply your skills?

Projects allow you to apply your knowledge to a wide range of datasets to solve real-world problems in your browser

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Frequently asked questions

Is machine learning easy to learn?

DataCamp's beginner machine learning courses are a lot of hands-on fun, and they provide an excellent foundation for machine learning to advance your career or business. Within weeks, you'll be able to create models and generate predictions and insights. You'll also learn foundational knowledge of Python and R and the fundamentals of artificial intelligence.

After that, the learning curve gets a bit steeper. Machine learning careers require a deeper understanding of statistics, math, and software engineering, all of which can be mastered at DataCamp.

What is machine learning used for?

In a nutshell, machine learning is a type of artificial intelligence whose algorithms, as they acquire data, produce analytical models and make predictions with little to no human intervention.

It's difficult to find an industry that doesn't use machine learning. For example, marketers use machine learning to forecast returns on investments in marketing campaigns. Likewise, purchasing departments use machine learning to predict needed inventory.

Businesses of all kinds use machine learning to predict customer behavior, map supply chains, and forecast revenues. Machine learning is used to predict health outcomes and to improve patient satisfaction. Machine learning helps scientists model climate change scenarios, including possible solutions.

More specifically, machine learning is used in smart devices, search engines, and streaming services (when Netflix suggests a show or movie based on your viewing history, that's machine learning).

What jobs can you get with machine learning skills?

Machine learning skills are valuable in programming, data science, and other computer engineering disciplines. In addition, machine learning is a must for anyone wanting to work in robotics!

Not all jobs that require machine learning are in tech though. For example, linguists use machine learning to track ever-changing languages and dialects. In addition, business departments, such as marketing, accounting, logistics, and purchasing, to name a few, increasingly need machine learning experts to help them make informed business decisions. Knowing machine learning can give you a step up in nearly any position, as modeling and predicting are critical business needs.

Are machine learning skills in demand?

Yes, machine learning skills are in high demand. According to a report by the World Economic Forum, demand for AI and ML specialists is expected to grow by 40% between 2023 and 2027.

How much math do I need to take a machine learning course?

If you're looking to develop a high-level understanding of machine learning concepts, you don't need much math. If you want to dive deeper and make machine learning your career (as opposed to an added value to your existing career), a foundation in statistics and algebra is helpful. If you don't have a mathematical background, that's okay. We'll teach you everything you need, and our instructors are a lot less scary than your high school calculus teacher.

Do I need to download machine learning software to learn on DataCamp?

You do not need to download anything while learning with DataCamp. All the tools we use are web-based.

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