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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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Coba DataCamp for Business

Recommended for Machine Learning beginners

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

Kursus

Memahami Machine Learning

DasarTingkat Keterampilan
2 jam
11.9K

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Cari Kursus dan Track Machine Learning

Kursus

Supervised Learning dengan scikit-learn

MenengahTingkat Keterampilan
4 jam
19.6K
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!

Kursus

Konsep MLOps

MenengahTingkat Keterampilan
2 jam
3.1K
Discover how MLOps can take machine learning models from local notebooks to functioning models in production that generate real business value.

Kursus

Machine Learning untuk Bisnis

DasarTingkat Keterampilan
2 jam
1.8K
Pahami dasar-dasar Machine Learning dan bagaimana penerapannya di dunia bisnis.

Kursus

Pemrosesan Citra dengan Python

MenengahTingkat Keterampilan
4 jam
1.7K
Pelajari cara memproses, mengubah, dan memanipulasi gambar sesuai keinginan Anda.

Kursus

Klasifikator Linear di Python

MenengahTingkat Keterampilan
4 jam
1.4K
Dalam kursus ini, Anda akan mempelajari detail tentang klasifikasi linier seperti regresi logistik dan SVM.

Kursus

Analisis Klaster di Python

MenengahTingkat Keterampilan
4 jam
1.3K
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

Kursus

Extreme Gradient Boosting dengan XGBoost

MenengahTingkat Keterampilan
4 jam
1.2K
Pelajari dasar-dasar gradient boosting dan bangun model machine learning terkini menggunakan XGBoost untuk menyelesaikan masalah klasifikasi dan regresi.

Kursus

Pengantar MLflow

LanjutanTingkat Keterampilan
4 jam
1.2K
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Kursus

Validasi Model di Python

MenengahTingkat Keterampilan
4 jam
959
Pelajari dasar-dasar validasi model, teknik validasi, dan mulailah membuat model yang tervalidasi dan berkinerja tinggi.

Kursus

Penyebaran dan Siklus Hidup MLOps

LanjutanTingkat Keterampilan
4 jam
945
Dalam kursus ini, Anda akan mempelajari kerangka kerja MLOps modern, termasuk siklus hidup dan deployment model machine learning.

Kursus

Machine Learning Ujung ke Ujung

MenengahTingkat Keterampilan
4 jam
903
Jelajahi dunia machine learning dan pelajari cara merancang, melatih, dan menerapkan model end-to-end.

Kursus

Pengurangan Dimensi dengan Python

MenengahTingkat Keterampilan
4 jam
888
Pahami konsep pengurangan dimensi pada data Anda, dan kuasai teknik-teknik untuk melakukannya dalam Python.

Kursus

Penyetelan Hyperparameter di Python

MenengahTingkat Keterampilan
4 jam
810
Pelajari teknik-teknik untuk penyesuaian hiperparameter otomatis dalam Python, termasuk Grid, Random, dan Informed Search.

Kursus

CI/CD untuk Machine Learning

LanjutanTingkat Keterampilan
5 jam
750
Tingkatkan pengembangan Machine Learning Anda dengan CI/CD menggunakan GitHub Actions dan Kontrol Versi Data.

Kursus

Machine Learning for Finance in Python

MenengahTingkat Keterampilan
4 jam
662
Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

Kursus

Pendahuluan TensorFlow di Python

MenengahTingkat Keterampilan
4 jam
605
Pelajari dasar-dasar jaringan saraf tiruan dan cara membangun model pembelajaran mendalam menggunakan TensorFlow.

Kursus

Pemrosesan Bahasa Alami dengan spaCy

MenengahTingkat Keterampilan
4 jam
584
Kuasai operasi inti spaCy dan latih model untuk pemrosesan bahasa alami. Ekstrak informasi dari data tidak terstruktur dan cocokkan pola.

Kursus

Analisis Market Basket dengan Python

MenengahTingkat Keterampilan
4 jam
569
Jelajahi aturan asosiasi dalam analisis keranjang belanja menggunakan Python dengan data toko buku dan membuat rekomendasi film.

Kursus

Supervised Learning di R: Regresi

MenengahTingkat Keterampilan
4 jam
565
Dalam kursus ini, Anda akan belajar cara memprediksi peristiwa di masa depan menggunakan regresi linier, model aditif umum, hutan acak, dan xgboost.

Kursus

Model ARIMA di Python

LanjutanTingkat Keterampilan
4 jam
546
Pelajari model ARIMA dalam Python dan jadilah ahli dalam analisis deret waktu.

Sumber daya terkait dengan Machine Learning

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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.
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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.
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Abid Ali Awan

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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

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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