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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

Courses

Understanding Machine Learning

基本的技能水平
2 hours
11.6K
An introduction to machine learning with no coding involved.

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Machine Learning Fundamentals in Python

16 hours
6.7K
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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Courses

Feature Engineering for NLP in Python

先进的技能水平
4 hours
525
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Courses

Sentiment Analysis in Python

中间的技能水平
4 hours
504
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Courses

Unsupervised Learning in R

中间的技能水平
4 hours
476
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

Courses

Ensemble Methods in Python

先进的技能水平
4 hours
428
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

Courses

Building Chatbots in Python

中间的技能水平
4 hours
423
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Courses

Monitoring Machine Learning Concepts

中间的技能水平
2 hours
409
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

Courses

Cluster Analysis in R

中间的技能水平
4 hours
392
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

Courses

Machine Learning with caret in R

中间的技能水平
4 hours
372
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Courses

Fully Automated MLOps

中间的技能水平
4 hours
356
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

Courses

MLOps for Business

基本的技能水平
3 hours
238
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

Courses

Machine Learning for Marketing in Python

中间的技能水平
4 hours
216
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Courses

Machine Learning in the Tidyverse

中间的技能水平
5 hours
184
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Courses

Advanced NLP with spaCy

中间的技能水平
5 hours
145
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

Courses

Feature Engineering in R

中间的技能水平
4 hours
140
Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

Courses

Support Vector Machines in R

中间的技能水平
4 hours
134
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

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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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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

    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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