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    4.89

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Free Supervised Machine Learning Courses

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Data Preparation for Machine Learning
star   4.48 6.5K+ learners
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Python for Machine Learning
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star   4.43 2.1K+ learners
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Logistic Regression on Customer Data
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Supervised Machine Learning with Tree Based Models
star   4.56 9.7K+ learners
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Data Preparation for Machine Learning
star   4.48 6.5K+ learners 1 hr
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Python for Machine Learning
star   4.51 459.8K+ learners 1.5 hrs
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Python Libraries for Machine Learning
star   4.55 9.4K+ learners 2.5 hrs
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star   4.39 143.3K+ learners 2.5 hrs
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star   4.49 31.2K+ learners 1.5 hrs
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star   4.43 2.1K+ learners 1 hr
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star   4.52 3.1K+ learners 1 hr
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Supervised Machine Learning with Tree Based Models

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Learner reviews of the Free Supervised Machine Learning Courses

Our learners share their experiences of our courses

4.48
67%
24%
6%
1%
2%
Reviewer Profile

5.0

“Engaging and Informative Machine Learning Course”
The curriculum was well-structured and covered a wide range of topics, from the basics of machine learning to more advanced techniques. I particularly appreciated the focus on practical applications and the use of real-world datasets. The quizzes and assignments were challenging but fair, and they helped me to solidify my understanding of the material. Overall, I found the course to be both enjoyable and informative, and I would highly recommend it to anyone interested in learning more about machine learning.

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Reviewer Profile

5.0

“Great Insights on How We Prepare Data for Machine Learning”
Great insights on preparing data for Machine Learning: Learned essential data cleaning, transformation, and preprocessing techniques. This will enable us to work and grow significantly in the field of Data Science. I would love to come back in the future, maybe to have an overview again!

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Reviewer Profile

5.0

“The Quiz is Really Interesting and the Lectures are Easy to Follow”
I really enjoyed the engaging course path with the quiz, which is easy to follow.

LinkedIn Profile

“Completed a Comprehensive Course on Preparing Data for Machine Learning”
Completed a comprehensive course on Preparing Data for Machine Learning, gaining hands-on experience in data cleaning, feature engineering, and handling missing values to enhance model performance and accuracy.

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Reviewer Profile

5.0

“Understanding of Preparing Data for Machine Learning”
This free course was very helpful because it was easy to learn and understand. The materials provided were easily understandable.

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Reviewer Profile

5.0

“Completely Understandable and Good Explanation”
Teaching, content, theory, and practice. Everything was good, starting from data preparation to building the model.

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Reviewer Profile

5.0

“My Experience About This Course Was Great”
I really enjoyed the course, and the course flow is very easy to understand. I love having this course. The learning experience is really great.

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Reviewer Profile

4.0

“The Hands-On Projects and Real-World Datasets Provided Excellent Practical Experience”
This course was a great introduction to Python for Machine Learning. I really enjoyed the clear explanations of core concepts like supervised learning, unsupervised learning, and deep learning. The hands-on labs with libraries like TensorFlow, Keras, and Scikit-learn helped solidify my understanding. I also appreciated the focus on real-world applications and the opportunities to work on projects that applied these techniques to real datasets. Overall, it's a great course for anyone looking to build a strong foundation in machine learning with Python.

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Reviewer Profile

5.0

“Great Learning: Bridging Knowledge and Industry Skills”
Great Learning offers exceptional courses on NumPy, Pandas, and introductory AI and machine learning. The classes are well-structured, providing a solid foundation in data manipulation and analysis. Instructors are highly knowledgeable and offer real-world insights, making complex topics easy to understand. The hands-on projects reinforce learning and prepare students for industry challenges. This platform is perfect for anyone looking to enhance their skills and advance in the field of data science and AI. Highly recommended!

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Reviewer Profile

5.0

“Quality and Usability of the Course”
It was an easy-to-use and applicable course. My data analysis journey started with your courses.

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Learn Supervised Machine Learning & Get Completion Certificates

Supervised machine learning is a vital subset of artificial intelligence that teaches algorithms to predict or make decisions from tagged training data. It involves guiding the algorithm with explicit feedback, mimicking a teacher-student learning relationship. This allows the model to extrapolate from training data to make accurate predictions on new data.

 

Key Highlights of Our Free Supervised Machine Learning Courses Collection

  • Foundational and Advanced Topics: The courses cover basic and intricate aspects of supervised learning, including classification and regression techniques.
  • Practical Applications: Explore real-world applications in various fields such as healthcare, finance, and marketing.
  • Comprehensive Learning: From data preparation to model evaluation, understand every step in the supervised machine learning pipeline.

 

Skills Covered

  • Pattern Recognition: Learn to identify patterns and relationships between input features and target variables.
  • Model Building: Gain expertise in constructing models for classification (categorizing data points) and regression (predicting continuous values).
  • Algorithm Application: Master the use of major algorithms, such as decision trees, neural networks, support vector machines, and more.
  • Performance Evaluation: Develop skills in assessing model accuracy using metrics like precision, recall, and F1 score.

 

Who Should Take Our Free Supervised Machine Learning Courses?

This course is designed for aspiring data scientists, AI specialists, and professionals who want to enhance their predictive analytics capabilities. It also suits students and researchers interested in applying machine learning to solve practical problems.

 

What Will You Learn in Free Supervised Machine Learning Courses?

  • Core Concepts: Understand the essentials of supervised learning, from data labeling to model optimization.
  • Classification Techniques: Learn to classify data into predefined categories using various algorithms.
  • Regression Methods: Explore how to predict numerical values using regression models.
  • Real-world Applications: Discover how supervised learning is applied in diverse industries to solve specific challenges.
  • Model Optimization: Get hands-on experience in refining machine learning models to enhance their accuracy and efficiency.

 

By the end of these courses, participants will be equipped to implement supervised machine learning models effectively, making them valuable assets in any data-driven organization.

 

Enroll in the Great Learning Academy's Free Supervised Machine Learning Courses today and earn a certificate in data structures to advance your programming skills and career.

Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

instructor img

Mr. Bharani Akella

Data Scientist
instructor img

Mr. Bharani Akella

Data Scientist
instructor img

Prof. Mukesh Rao

Senior Faculty, Academics, Great Learning
  • 20+ years of expertise in AI, machine learning, and analytics
  • Director - Academics at Great Learning

Frequently Asked Questions

How can I learn the Supervised Machine Learning course for free?

Great Learning offers free Supervised Machine Learning courses addressing basic to advanced concepts. Enroll in the course that suits your interest through the pool of courses and earn free Supervised Machine Learning certificates of course completion.

Can I learn about Supervised Machine Learning on my own?

With the support of online learning platforms, learning concepts on your own is now possible. Great Learning Academy is a platform that provides free Supervised Machine Learning courses where learners can learn at their own pace.

How long does it take to complete these Supervised Machine Learning courses?

These free Supervised Machine Learning courses offered by Great Learning Academy contain self-paced videos allowing learners to learn crucial concepts and gain in-demand supervised machine learning skills at their convenience.

Will I have lifetime access to these Supervised Machine Learning courses with certificates?

Yes. You will have lifelong access to these free Supervised Machine Learning courses Great Learning Academy offers.

What are my next learning options after these Supervised Machine Learning courses?


You can enroll in Great Learning's highly-appreciated MIT Data Science and Machine Learning Program, which will help you gain advanced ML skills in demand in industries. Complete the course to earn a certificate of course completion.

Is it worth learning Supervised Machine Learning?

Absolutely, it is worth learning Supervised Machine Learning. It is one of the most widely utilized types of machine learning and forms the basis for many real-world applications. Understanding supervised learning provides a solid foundation for other advanced machine learning concepts.
 

Why is Supervised Machine Learning so popular?

Supervised machine learning is popular due to its effectiveness and wide range of applications. It's a machine learning technique that uses labeled data for training a model. Due to its ability to solve real-world problems across a variety of domains, it has gained popularity. Many supervised learning algorithms are both efficient and interpretable, making them easy to implement and understand. This combination of effectiveness, applicability, and accessibility contributes to the popularity of supervised machine learning.

Will I get certificates after completing these free Supervised Machine Learning courses?

You will be awarded free Supervised Machine Learning certificates after completion of your enrolled Supervised Machine Learning free courses.

What knowledge and skills will I gain upon completing these free Supervised Machine Learning courses?

Upon completing these free Supervised Machine Learning courses, you'll gain an in-depth understanding of the core concepts and practical applications of supervised machine learning. This includes implementing and fine-tuning popular algorithms such as Logistic Regression, Naïve Bayes, and various Tree-Based Models.

How much do these Supervised Machine Learning courses cost?

These Supervised Machine Learning courses are provided by Great Learning Academy for free, allowing any learner to learn crucial concepts for free.

Who are eligible to take these free Supervised Machine Learning courses?

Learners, from freshers to working professionals who wish to learn about supervised machine learning and upskill, can enroll in these courses and earn free Supervised Machine Learning certificates of course completion.

What are the steps to enroll in these free Supervised Machine Learning courses?

Choose the free Supervised Machine Learning courses you are looking for and click on the "Enroll Now" button to start your learning experience.

Why take Supervised Machine Learning courses from Great Learning Academy?

Great Learning Academy is the proactive initiative by Great Learning, the leading e-Learning platform, to offer free industry-relevant courses. Free Supervised Machine Learning courses include courses ranging from beginner to advanced level to help learners choose the best fit for them.

What jobs demand you learn Supervised Machine Learning?

 

Here are some job roles that demand knowledge of Supervised Machine Learning:

1. Data Scientist

2. Machine Learning Engineer

3. AI Engineer

4. Data Analyst

5. Business Intelligence Analyst

6. Risk Analyst

7. Bioinformatics Specialist

8. Quantitative Analyst

9. Computer Vision Engineer

10. NLP Scientist