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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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ลองใช้ DataCamp for Business

Recommended for Machine Learning beginners

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

Courses

Understanding Machine Learning

พื้นฐานระดับทักษะ
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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เรียกดูหลักสูตรและแทร็กของ Machine Learning

Courses

Feature Engineering for NLP in Python

ขั้นสูงระดับทักษะ
4 hours
525
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Courses

Developing Machine Learning Models for Production

ระดับกลางระดับทักษะ
4 hours
521
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

Courses

Sentiment Analysis in Python

ระดับกลางระดับทักษะ
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

Fraud Detection in Python

ระดับกลางระดับทักษะ
4 hours
480
Learn how to detect fraud using Python.

Courses

Unsupervised Learning in R

ระดับกลางระดับทักษะ
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

ขั้นสูงระดับทักษะ
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

ระดับกลางระดับทักษะ
4 hours
423
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

Courses

Machine Learning with Tree-Based Models in R

พื้นฐานระดับทักษะ
4 hours
418
Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Courses

Monitoring Machine Learning Concepts

ระดับกลางระดับทักษะ
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

ระดับกลางระดับทักษะ
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

ระดับกลางระดับทักษะ
4 hours
372
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

Courses

Fully Automated MLOps

ระดับกลางระดับทักษะ
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

Monitoring Machine Learning in Python

ขั้นสูงระดับทักษะ
3 hours
346
This course covers everything you need to know to build a basic machine learning monitoring system in Python

Courses

Introduction to Data Versioning with DVC

ระดับกลางระดับทักษะ
3 hours
331
Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

Courses

MLOps for Business

พื้นฐานระดับทักษะ
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

ระดับกลางระดับทักษะ
4 hours
216
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Courses

Modeling with tidymodels in R

ระดับกลางระดับทักษะ
4 hours
199
Learn to streamline your machine learning workflows with tidymodels.

Courses

Machine Learning in the Tidyverse

ระดับกลางระดับทักษะ
5 hours
184
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

Courses

Advanced NLP with spaCy

ระดับกลางระดับทักษะ
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

ระดับกลางระดับทักษะ
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

ระดับกลางระดับทักษะ
4 hours
134
This course will introduce the support vector machine (SVM) using an intuitive, visual approach.

แหล่งข้อมูลที่เกี่ยวข้องบน Machine Learning

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blogs

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 นาที

blogs

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 นาที

blogs

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 นาที

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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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