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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

पाठ्यक्रम

Understanding Machine Learning

बुनियादीकौशल स्तर
4.8+
12.7K
2 घंटे
An introduction to machine learning with no coding involved.

ट्रैक

Machine Learning Fundamentals in Python

6.2K
16 घंटे
Learn the art of Machine Learning and come away as a boss at prediction, pattern recognition, and the beginnings of Deep and Reinforcement Learning.

निश्चित नहीं कि कहां से शुरू करें?

मूल्यांकन लें

Machine Learning पाठ्यक्रम और ट्रैक ब्राउज़ करें

पाठ्यक्रम

Introduction to Predictive Analytics in Python

बुनियादीकौशल स्तर
4.8+
556
4 घंटे
In this course youll learn to use and present logistic regression models for making predictions.

पाठ्यक्रम

Unsupervised Learning in R

मध्यमकौशल स्तर
4.7+
552
4 घंटे
This course provides an intro to clustering and dimensionality reduction in R from a machine learning perspective.

पाठ्यक्रम

Machine Learning with caret in R

मध्यमकौशल स्तर
4.8+
544
4 घंटे
This course teaches the big ideas in machine learning like how to build and evaluate predictive models.

पाठ्यक्रम

Introduction to TensorFlow in Python

मध्यमकौशल स्तर
4.8+
496
4 घंटे
Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

पाठ्यक्रम

Ensemble Methods in Python

उन्नतकौशल स्तर
4.8+
481
4 घंटे
Learn how to build advanced and effective machine learning models in Python using ensemble techniques such as bagging, boosting, and stacking.

पाठ्यक्रम

Supervised Learning in R: Regression

मध्यमकौशल स्तर
4.6+
477
4 घंटे
In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

पाठ्यक्रम

Fraud Detection in Python

मध्यमकौशल स्तर
4.7+
475
4 घंटे
Learn how to detect fraud using Python.

पाठ्यक्रम

ARIMA Models in Python

उन्नतकौशल स्तर
4.8+
467
4 घंटे
Learn about ARIMA models in Python and become an expert in time series analysis.

पाठ्यक्रम

Monitoring Machine Learning Concepts

मध्यमकौशल स्तर
4.7+
449
2 घंटे
Learn about the challenges of monitoring machine learning models in production, including data and concept drift, and methods to address model degradation.

पाठ्यक्रम

Cluster Analysis in R

मध्यमकौशल स्तर
4.8+
406
4 घंटे
Develop a strong intuition for how hierarchical and k-means clustering work and learn how to apply them to extract insights from your data.

पाठ्यक्रम

Fully Automated MLOps

मध्यमकौशल स्तर
4.8+
385
4 घंटे
Learn about MLOps architecture, CI/CD/CM/CT techniques, and automation patterns to deploy ML systems that can deliver value over time.

पाठ्यक्रम

Monitoring Machine Learning in Python

उन्नतकौशल स्तर
4.7+
372
3 घंटे
This course covers everything you need to know to build a basic machine learning monitoring system in Python

पाठ्यक्रम

Introduction to Data Versioning with DVC

मध्यमकौशल स्तर
4.7+
342
3 घंटे
Explore Data Version Control for ML data management. Master setup, automate pipelines, and evaluate models seamlessly.

पाठ्यक्रम

Building Chatbots in Python

मध्यमकौशल स्तर
4.7+
293
4 घंटे
Learn the fundamentals of how to build conversational bots using rule-based systems as well as machine learning.

पाठ्यक्रम

Building Recommendation Engines with PySpark

उन्नतकौशल स्तर
4.8+
280
4 घंटे
Learn tools and techniques to leverage your own big data to facilitate positive experiences for your users.

पाठ्यक्रम

Modeling with tidymodels in R

मध्यमकौशल स्तर
4.8+
274
4 घंटे
Learn to streamline your machine learning workflows with tidymodels.

पाठ्यक्रम

MLOps for Business

बुनियादीकौशल स्तर
4.8+
245
3 घंटे
Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

पाठ्यक्रम

Building Recommendation Engines in Python

मध्यमकौशल स्तर
4.7+
228
4 घंटे
Learn to build recommendation engines in Python using machine learning techniques.

पाठ्यक्रम

Machine Learning for Marketing in Python

मध्यमकौशल स्तर
4.8+
224
4 घंटे
From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

पाठ्यक्रम

Text Mining with Bag-of-Words in R

मध्यमकौशल स्तर
4.8+
219
4 घंटे
Learn the bag of words technique for text mining with R.

पाठ्यक्रम

Sentiment Analysis in R

मध्यमकौशल स्तर
4.7+
213
4 घंटे
Learn sentiment analysis by identifying positive and negative language, specific emotional intent and making compelling visualizations.

पाठ्यक्रम

Hyperparameter Tuning in R

उन्नतकौशल स्तर
4.7+
200
4 घंटे
Learn how to tune your models hyperparameters to get the best predictive results.

पाठ्यक्रम

Machine Learning in the Tidyverse

मध्यमकौशल स्तर
4.8+
185
5 घंटे
Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

पाठ्यक्रम

Fraud Detection in R

मध्यमकौशल स्तर
4.8+
149
4 घंटे
Learn to detect fraud with analytics in R.

पाठ्यक्रम

Advanced NLP with spaCy

मध्यमकौशल स्तर
4.6+
141
5 घंटे
Learn how to use spaCy to build advanced natural language understanding systems, using both rule-based and machine learning approaches.

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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