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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

Curs

Înțelegerea Machine Learning-ului

De bazăNivel de competențe
4.8+
9.542 de recenzii
2 h
Introducere în machine learning fără codare.

Traseu de învățare

Fundamentele învățării automate în Python

4.5+
8 recenzii
16 h
Învață arta Machine Learning și pleacă de aici ca un expert în predicție, recunoașterea tiparelor și bazele Deep Learning și Reinforcement Learning.

Nu știi de unde să începi?

Fă o evaluare

Navighează cursurile și traseele Machine Learning

Curs

Învățare supravegheată cu scikit-learn

IntermediarNivel de competențe
4.8+
8.424 de recenzii
4 h
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!

Curs

Învățare nesupervizată în Python

IntermediarNivel de competențe
4.8+
1.095 de recenzii
4 h
Învață să grupezi, să transformi, să vizualizezi și să extragi insight-uri din seturi de date neetichetate folosind scikit-learn și scipy.

Curs

Concepte MLOps

IntermediarNivel de competențe
4.8+
2.564 de recenzii
2 h
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Curs

Machine Learning for Business

De bazăNivel de competențe
4.8+
1.645 de recenzii
2 h
Understand the fundamentals of Machine Learning and how its applied in the business world.

Curs

Linear Classifiers in Python

IntermediarNivel de competențe
4.8+
326 de recenzii
4 h
In this course you will learn the details of linear classifiers like logistic regression and SVM.

Curs

Image Processing in Python

IntermediarNivel de competențe
4.8+
210 recenzii
4 h
Learn to process, transform, and manipulate images at your will.

Curs

Extreme Gradient Boosting with XGBoost

IntermediarNivel de competențe
4.8+
255 de recenzii
4 h
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Curs

Introduction to MLflow

AvansatNivel de competențe
4.7+
738 de recenzii
4 h
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Curs

MLOps Deployment and Life Cycling

AvansatNivel de competențe
4.7+
852 de recenzii
4 h
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Curs

Cluster Analysis in Python

IntermediarNivel de competențe
4.8+
959 de recenzii
4 h
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Curs

End-to-End Machine Learning

IntermediarNivel de competențe
4.7+
341 de recenzii
4 h
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

Curs

Model Validation in Python

IntermediarNivel de competențe
4.8+
833 de recenzii
4 h
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

Curs

CI/CD for Machine Learning

AvansatNivel de competențe
4.7+
368 de recenzii
5 h
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

Curs

Machine Learning with PySpark

AvansatNivel de competențe
4.8+
689 de recenzii
4 h
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

Curs

Hyperparameter Tuning in Python

IntermediarNivel de competențe
4.8+
782 de recenzii
4 h
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

Curs

Sentiment Analysis in Python

IntermediarNivel de competențe
4.8+
429 de recenzii
4 h
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

Curs

Dimensionality Reduction in Python

IntermediarNivel de competențe
4.8+
849 de recenzii
4 h
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Curs

Natural Language Processing with spaCy

IntermediarNivel de competențe
4.7+
576 de recenzii
4 h
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

Curs

Feature Engineering for NLP in Python

AvansatNivel de competențe
4.8+
142 de recenzii
4 h
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Curs

Machine Learning for Finance in Python

IntermediarNivel de competențe
4.8+
208 recenzii
4 h
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Curs

Monitoring Machine Learning Concepts

IntermediarNivel de competențe
4.8+
455 de recenzii
2 h
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

Resurse conexe despre Machine Learning

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articol de blog

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 min.

articol de blog

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 min.

articol de blog

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 min.

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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