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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

课程

Understanding Machine Learning

基础技能水平
4.5+
12.6K
2 小时
An introduction to machine learning with no coding involved.

学习路径

Machine Learning Fundamentals in Python

6.5K
16 小时
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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课程

Unsupervised Learning in R

中级技能水平
4.7+
537
4 小时
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

课程

Machine Learning with caret in R

中级技能水平
4.7+
514
4 小时
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

课程

Ensemble Methods in Python

高级技能水平
4.7+
482
4 小时
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

课程

Supervised Learning in R: Regression

中级技能水平
4.5+
479
4 小时
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

课程

ARIMA Models in Python

高级技能水平
4.7+
470
4 小时
Learn about ARIMA models in Python and become an expert in time series analysis.

课程

Monitoring Machine Learning Concepts

中级技能水平
4.6+
439
2 小时
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

课程

Cluster Analysis in R

中级技能水平
4.8+
424
4 小时
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

课程

Fully Automated MLOps

中级技能水平
4.5+
381
4 小时
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

课程

Building Chatbots in Python

中级技能水平
4.6+
307
4 小时
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

课程

MLOps for Business

基础技能水平
4.7+
251
3 小时
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

课程

Machine Learning for Marketing in Python

中级技能水平
4.4+
216
4 小时
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

课程

Sentiment Analysis in R

中级技能水平
4.5+
205
4 小时
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

课程

Hyperparameter Tuning in R

高级技能水平
4.2+
203
4 小时
Learn how to tune your models hyperparameters to get the best predictive results.

课程

Machine Learning in the Tidyverse

中级技能水平
4.7+
187
5 小时
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

课程

Advanced NLP with spaCy

中级技能水平
5
142
5 小时
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

课程

Dimensionality Reduction in R

基础技能水平
4.5+
138
4 小时
Learn dimensionality reduction techniques in R and master feature selection and extraction for your own data and models.

Machine Learning 相关资源

Artificial Intelligence Vector Image

博客

How to Become a Machine Learning Engineer in 2026

Learn how to become a machine learning engineer and discover why it is one of the most lucrative and dynamic career paths in the data world.
Kurtis Pykes 's photo

Kurtis Pykes

15分钟

博客

33 Machine Learning Projects for All Levels in 2026

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

Abid Ali Awan

15分钟

博客

Top 12 Machine Learning Engineer Skills To Start Your Career

Master these skills to become a job-ready machine learning engineer in 2024.
Natassha Selvaraj's photo

Natassha Selvaraj

11分钟

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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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