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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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DataCamp for Business आज़माएं

Recommended for Machine Learning beginners

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

कोर्स

Understanding Machine Learning

बुनियादीकौशल स्तर
4.8+
9,717 समीक्षाएँ
2 घंटे
कोडिंग के बिना मशीन लर्निंग का परिचय।

लर्निंग पाथ

मशीन लर्निंग फंडामेंटल्स में Python

4.5+
8 समीक्षाएँ
16 घंटे
मशीन लर्निंग की कला सीखें और भविष्यवाणी, पैटर्न पहचान, तथा डीप और रिइन्फोर्समेंट लर्निंग की शुरुआत में माहिर बनकर निकलें।

निश्चित नहीं कि कहां से शुरू करें?

मूल्यांकन लें

Machine Learning पाठ्यक्रम और ट्रैक ब्राउज़ करें

कोर्स

scikit-learn के साथ Supervised Learning

मध्यमकौशल स्तर
4.8+
8,481 समीक्षाएँ
4 घंटे
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!

कोर्स

Understanding Machine Learning

बुनियादीकौशल स्तर
4.8+
9,717 समीक्षाएँ
2 घंटे
कोडिंग के बिना मशीन लर्निंग का परिचय।

कोर्स

Python में Unsupervised Learning

मध्यमकौशल स्तर
4.8+
1,098 समीक्षाएँ
4 घंटे
scikit-learn और scipy का उपयोग करके बिना लेबल वाले डेटासेट को क्लस्टर, ट्रांसफ़ॉर्म, विज़ुअलाइज़ और उनसे इनसाइट्स निकालना सीखें।

कोर्स

MLOps Concepts

मध्यमकौशल स्तर
4.8+
2,581 समीक्षाएँ
2 घंटे
जानें कि MLOps कैसे मशीन लर्निंग मॉडल्स को लोकल नोटबुक्स से प्रोडक्शन में काम करने वाले मॉडल्स तक ले जाता है, जो वास्तविक व्यावसायिक मूल्य उत्पन्न करते हैं।

कोर्स

Python में Tree-Based Models के साथ Machine Learning

मध्यमकौशल स्तर
4.8+
718 समीक्षाएँ
5 घंटे
इस पाठ्यक्रम में, आप scikit-learn का उपयोग करके regression और classification के लिए tree-based models और ensembles का उपयोग करना सीखेंगे।

कोर्स

Machine Learning for Business

बुनियादीकौशल स्तर
4.8+
1,653 समीक्षाएँ
2 घंटे
Understand the fundamentals of Machine Learning and how its applied in the business world.

कोर्स

Linear Classifiers in Python

मध्यमकौशल स्तर
4.8+
326 समीक्षाएँ
4 घंटे
In this course you will learn the details of linear classifiers like logistic regression and SVM.

कोर्स

Image Processing in Python

मध्यमकौशल स्तर
4.8+
211 समीक्षाएँ
4 घंटे
Learn to process, transform, and manipulate images at your will.

कोर्स

Introduction to MLflow

उन्नतकौशल स्तर
4.7+
744 समीक्षाएँ
4 घंटे
Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

कोर्स

Extreme Gradient Boosting with XGBoost

मध्यमकौशल स्तर
4.8+
256 समीक्षाएँ
4 घंटे
Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

कोर्स

MLOps Deployment and Life Cycling

उन्नतकौशल स्तर
4.7+
859 समीक्षाएँ
4 घंटे
In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

कोर्स

Supervised Learning in R: Classification

मध्यमकौशल स्तर
4.7+
140 समीक्षाएँ
4 घंटे
In this course you will learn the basics of machine learning for classification.

कोर्स

Introduction to Natural Language Processing in Python

मध्यमकौशल स्तर
4.7+
990 समीक्षाएँ
4 घंटे
Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

कोर्स

Machine Learning for Time Series Data in Python

उन्नतकौशल स्तर
4.7+
172 समीक्षाएँ
4 घंटे
This course focuses on feature engineering and machine learning for time series data.

कोर्स

End-to-End Machine Learning

मध्यमकौशल स्तर
4.7+
342 समीक्षाएँ
4 घंटे
Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

कोर्स

Cluster Analysis in Python

मध्यमकौशल स्तर
4.8+
959 समीक्षाएँ
4 घंटे
In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

कोर्स

Model Validation in Python

मध्यमकौशल स्तर
4.8+
842 समीक्षाएँ
4 घंटे
Learn the basics of model validation, validation techniques, and begin creating validated and high performing models.

कोर्स

CI/CD for Machine Learning

उन्नतकौशल स्तर
4.7+
377 समीक्षाएँ
5 घंटे
Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

कोर्स

Machine Learning with PySpark

उन्नतकौशल स्तर
4.8+
691 समीक्षाएँ
4 घंटे
Learn how to make predictions from data with Apache Spark, using decision trees, logistic regression, linear regression, ensembles, and pipelines.

कोर्स

Hyperparameter Tuning in Python

मध्यमकौशल स्तर
4.8+
789 समीक्षाएँ
4 घंटे
Learn techniques for automated hyperparameter tuning in Python, including Grid, Random, and Informed Search.

कोर्स

Sentiment Analysis in Python

मध्यमकौशल स्तर
4.8+
434 समीक्षाएँ
4 घंटे
Are customers thrilled with your products or is your service lacking? Learn how to perform an end-to-end sentiment analysis task.

कोर्स

Natural Language Processing with spaCy

मध्यमकौशल स्तर
4.7+
582 समीक्षाएँ
4 घंटे
Master the core operations of spaCy and train models for natural language processing. Extract information from unstructured data and match patterns.

कोर्स

Dimensionality Reduction in Python

मध्यमकौशल स्तर
4.8+
852 समीक्षाएँ
4 घंटे
Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

कोर्स

Feature Engineering for NLP in Python

उन्नतकौशल स्तर
4.8+
143 समीक्षाएँ
4 घंटे
Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

कोर्स

Developing Machine Learning Models for Production

मध्यमकौशल स्तर
4.8+
446 समीक्षाएँ
4 घंटे
Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.

कोर्स

Monitoring Machine Learning Concepts

मध्यमकौशल स्तर
4.8+
462 समीक्षाएँ
2 घंटे
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

कोर्स

Fraud Detection in Python

मध्यमकौशल स्तर
4.7+
190 समीक्षाएँ
4 घंटे
Learn how to detect fraud using Python.

कोर्स

Machine Learning with Tree-Based Models in R

बुनियादीकौशल स्तर
4.8+
258 समीक्षाएँ
4 घंटे
Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

Machine Learning पर संबंधित संसाधन

Artificial Intelligence Vector Image

ब्लॉग

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 मि॰

ब्लॉग

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 मि॰

ब्लॉग

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 मि॰


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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