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University Programs

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16 weeks  • Online

Free Supervised Machine Learning Courses

FREE
Introduction to Machine Learning
star   4.46 78K+ Learners 1 hr

Skills: Learn the fundamentals of machine learning, including supervised and unsupervised learning, regression, and recommendation systems. Join this free machine learning course to apply these skills in real-world business scenarios.

FREE
Data Preparation for Machine Learning
star   4.49 7.5K+ Learners 1 hr

Skills: Data Leakage, Data Balancing, K-fold Cross Validation, Model Building

FREE
Python for Machine Learning
star   4.51 475.4K+ Learners 1.5 hrs

Skills: NumPy Arrays, NumPy Operations, NumPy Math, Saving & Loading NumPy, Pandas Series, Pandas DataFrame, Pandas Functions (Mean, Median, Max, Min), Data Manipulation, Supervised Learning, Unsupervised Learning, Machine Learning with Python

FREE
Python Libraries for Machine Learning
star   4.55 10.2K+ Learners 2.5 hrs

Skills: Numpy, Pandas, Matplotlib, SeaBorn

FREE
Basics of Machine Learning
star   4.39 149.7K+ Learners 2.5 hrs

Skills: Introduction to Machine Learning, Supervised Machine Learning, Linear Regression, Pearson's Coefficient, Coefficient of Determinant

FREE
Machine Learning Algorithms
star   4.49 32.6K+ Learners 1.5 hrs

Skills: Classification (Logistic Regression, Decision Trees, SVM), Regression (Linear, Ridge, Lasso), Clustering (K-means, Hierarchical), model evaluation, cross validation

FREE
Supervised Machine Learning Tutorial
star   4.43 2.4K+ Learners 1 hr

Skills: Supervised Machine Learning, Linear Regression, Characteristics of Supervised Machine Learning

FREE
Supervised Machine Learning with Logistic Regression and Naïve Bayes
star   4.43 21.9K+ Learners 2 hrs

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

FREE
Logistic Regression on Customer Data
star   4.5 3.2K+ Learners 1 hr

Skills: Logistic Regression on Customer Data

FREE
Supervised Machine Learning with Tree Based Models
star   4.56 9.9K+ Learners 2 hrs

Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

FREE
Decision Tree
star   4.43 3.6K+ Learners 1.5 hrs

Skills: Entropy, Heterogeneity, Shannon's Entropy, Preventing Overfitting

FREE
Support Vector Machines
star   4.53 3.2K+ Learners 1 hr

Skills: Introduction to Machine Learning, Kernel Functions, SVM Demo in Python

free icon FREE
Introduction to Machine Learning
star   4.46 78K+ Learners 1 hr

Skills: Learn the fundamentals of machine learning, including supervised and unsupervised learning, regression, and recommendation systems. Join this free machine learning course to apply these skills in real-world business scenarios.

free icon FREE
Data Preparation for Machine Learning
star   4.49 7.5K+ Learners 1 hr

Skills: Data Leakage, Data Balancing, K-fold Cross Validation, Model Building

free icon FREE
Python for Machine Learning
star   4.51 475.4K+ Learners 1.5 hrs

Skills: NumPy Arrays, NumPy Operations, NumPy Math, Saving & Loading NumPy, Pandas Series, Pandas DataFrame, Pandas Functions (Mean, Median, Max, Min), Data Manipulation, Supervised Learning, Unsupervised Learning, Machine Learning with Python

free icon FREE
Python Libraries for Machine Learning
star   4.55 10.2K+ Learners 2.5 hrs

Skills: Numpy, Pandas, Matplotlib, SeaBorn

free icon FREE
Basics of Machine Learning
star   4.39 149.7K+ Learners 2.5 hrs

Skills: Introduction to Machine Learning, Supervised Machine Learning, Linear Regression, Pearson's Coefficient, Coefficient of Determinant

free icon FREE
Machine Learning Algorithms
star   4.49 32.6K+ Learners 1.5 hrs

Skills: Classification (Logistic Regression, Decision Trees, SVM), Regression (Linear, Ridge, Lasso), Clustering (K-means, Hierarchical), model evaluation, cross validation

free icon FREE
Supervised Machine Learning Tutorial
star   4.43 2.4K+ Learners 1 hr

Skills: Supervised Machine Learning, Linear Regression, Characteristics of Supervised Machine Learning

free icon FREE
Supervised Machine Learning with Logistic Regression and Naïve Bayes

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

free icon FREE
Logistic Regression on Customer Data
star   4.5 3.2K+ Learners 1 hr

Skills: Logistic Regression on Customer Data

free icon FREE
Supervised Machine Learning with Tree Based Models

Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

free icon FREE
Decision Tree
star   4.43 3.6K+ Learners 1.5 hrs

Skills: Entropy, Heterogeneity, Shannon's Entropy, Preventing Overfitting

free icon FREE
Support Vector Machines
star   4.53 3.2K+ Learners 1 hr

Skills: Introduction to Machine Learning, Kernel Functions, SVM Demo in Python

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.

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Get started with these courses

FREE
Supervised Machine Learning Tutorial
star   4.43 2.4K+ Learners 1 hr

Skills: Supervised Machine Learning, Linear Regression, Characteristics of Supervised Machine Learning

FREE
Bagging and Boosting
star   4.62 2K+ Learners 1 hr

Skills: Working with Prediction Errors, Understanding Ensemble Methods, Introduction to Bagging and Boosting, Bagging vs Boosting, Practical Demo in Python

FREE
Support Vector Machines
star   4.53 3.2K+ Learners 1 hr

Skills: Introduction to Machine Learning, Kernel Functions, SVM Demo in Python

FREE
Decision Tree
star   4.43 3.6K+ Learners 1.5 hrs

Skills: Entropy, Heterogeneity, Shannon's Entropy, Preventing Overfitting

FREE
Random Forest
star   4.37 2.5K+ Learners 1 hr

Skills: Random Forest

FREE
Logistic Regression on Customer Data
star   4.5 3.2K+ Learners 1 hr

Skills: Logistic Regression on Customer Data

FREE
Python for Machine Learning
star   4.51 475.4K+ Learners 1.5 hrs

Skills: NumPy Arrays, NumPy Operations, NumPy Math, Saving & Loading NumPy, Pandas Series, Pandas DataFrame, Pandas Functions (Mean, Median, Max, Min), Data Manipulation, Supervised Learning, Unsupervised Learning, Machine Learning with Python

FREE
Basics of Machine Learning
star   4.39 149.7K+ Learners 2.5 hrs

Skills: Introduction to Machine Learning, Supervised Machine Learning, Linear Regression, Pearson's Coefficient, Coefficient of Determinant

FREE
Introduction to Machine Learning
star   4.46 78K+ Learners 1 hr

Skills: Learn the fundamentals of machine learning, including supervised and unsupervised learning, regression, and recommendation systems. Join this free machine learning course to apply these skills in real-world business scenarios.

FREE
Machine Learning Algorithms
star   4.49 32.6K+ Learners 1.5 hrs

Skills: Classification (Logistic Regression, Decision Trees, SVM), Regression (Linear, Ridge, Lasso), Clustering (K-means, Hierarchical), model evaluation, cross validation

FREE
Supervised Machine Learning with Logistic Regression and Naïve Bayes
star   4.43 21.9K+ Learners 2 hrs

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

FREE
Python Libraries for Machine Learning
star   4.55 10.2K+ Learners 2.5 hrs

Skills: Numpy, Pandas, Matplotlib, SeaBorn

FREE
Supervised Machine Learning with Tree Based Models
star   4.56 9.9K+ Learners 2 hrs

Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

FREE
Data Preparation for Machine Learning
star   4.49 7.5K+ Learners 1 hr

Skills: Data Leakage, Data Balancing, K-fold Cross Validation, Model Building

New

FREE
Supervised Machine Learning Tutorial
star   4.43 2.4K+ Learners 1 hr

Skills: Supervised Machine Learning, Linear Regression, Characteristics of Supervised Machine Learning

FREE
Bagging and Boosting
star   4.62 2K+ Learners 1 hr

Skills: Working with Prediction Errors, Understanding Ensemble Methods, Introduction to Bagging and Boosting, Bagging vs Boosting, Practical Demo in Python

FREE
Support Vector Machines
star   4.53 3.2K+ Learners 1 hr

Skills: Introduction to Machine Learning, Kernel Functions, SVM Demo in Python

FREE
Decision Tree
star   4.43 3.6K+ Learners 1.5 hrs

Skills: Entropy, Heterogeneity, Shannon's Entropy, Preventing Overfitting

FREE
Random Forest
star   4.37 2.5K+ Learners 1 hr

Skills: Random Forest

FREE
Logistic Regression on Customer Data
star   4.5 3.2K+ Learners 1 hr

Skills: Logistic Regression on Customer Data

Popular

FREE
Python for Machine Learning
star   4.51 475.4K+ Learners 1.5 hrs

Skills: NumPy Arrays, NumPy Operations, NumPy Math, Saving & Loading NumPy, Pandas Series, Pandas DataFrame, Pandas Functions (Mean, Median, Max, Min), Data Manipulation, Supervised Learning, Unsupervised Learning, Machine Learning with Python

FREE
Basics of Machine Learning
star   4.39 149.7K+ Learners 2.5 hrs

Skills: Introduction to Machine Learning, Supervised Machine Learning, Linear Regression, Pearson's Coefficient, Coefficient of Determinant

FREE
Introduction to Machine Learning
star   4.46 78K+ Learners 1 hr

Skills: Learn the fundamentals of machine learning, including supervised and unsupervised learning, regression, and recommendation systems. Join this free machine learning course to apply these skills in real-world business scenarios.

FREE
Machine Learning Algorithms
star   4.49 32.6K+ Learners 1.5 hrs

Skills: Classification (Logistic Regression, Decision Trees, SVM), Regression (Linear, Ridge, Lasso), Clustering (K-means, Hierarchical), model evaluation, cross validation

FREE
Supervised Machine Learning with Logistic Regression and Naïve Bayes
star   4.43 21.9K+ Learners 2 hrs

Skills: Scikit Learn Library,Logistic Regression, Naïve Bayes

FREE
Python Libraries for Machine Learning
star   4.55 10.2K+ Learners 2.5 hrs

Skills: Numpy, Pandas, Matplotlib, SeaBorn

FREE
Supervised Machine Learning with Tree Based Models
star   4.56 9.9K+ Learners 2 hrs

Skills: Scikit Learn Library, Decision Tree, Random Forest, Demonstration for Algorithms

FREE
Data Preparation for Machine Learning
star   4.49 7.5K+ Learners 1 hr

Skills: Data Leakage, Data Balancing, K-fold Cross Validation, Model Building

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

India
“Introduction to Machine Learning is Very Helpful”
Reflect on key concepts you learned, like supervised vs. unsupervised learning and model evaluation. Consider the practical applications and projects you worked on, as hands-on experience is vital. Evaluate the tools you used, such as TensorFlow or Scikit-learn, and identify any challenging topics that need further study. Think about your next steps: will you explore advanced areas like deep learning or work on personal projects? Finally, consider networking opportunities provided by the course to connect with peers and industry professionals, enhancing your learning journey.
Reviewer Profile

5.0

India
“Introduction to Machine Learning: What I Learned”
The machine learning course provided a well-rounded introduction to key concepts, including supervised and unsupervised learning, model evaluation, and algorithm selection. The balance between theory and practice was effective, with hands-on coding exercises reinforcing the material. However, more real-world case studies would enhance understanding of practical applications. The instructor was clear and provided solid explanations, but some advanced topics, like hyperparameter tuning and optimization, could benefit from deeper exploration.
Reviewer Profile

4.0

India
“Fantastic Community Support”
I recently completed a course on the Great Learning platform, and I can't recommend it highly enough! The course content was well-structured and incredibly relevant to today’s industry demands. The instructors were not only knowledgeable but also engaging, making complex topics easier to understand. The platform itself is user-friendly, with a seamless interface that allows for easy navigation through the course materials. I particularly appreciated the interactive quizzes and hands-on projects that reinforced my learning.
Reviewer Profile

5.0

India
“Introduction to Machine Learning”
I'm excited to dive into the world of machine learning! I liked how it combines computer science, statistics, and domain expertise to enable machines to learn from data and improve their performance. Applications in image recognition, natural language processing, predictive analytics, and recommendation systems fascinate me. I'm looking forward to exploring supervised, unsupervised, and reinforcement learning techniques, algorithms, and real-world applications.
Reviewer Profile

5.0

India
“Introduction to Machine Learning”
Machine learning is a subset of artificial intelligence that focuses on the development of algorithms and statistical models that enable computers to learn from and make predictions based on data. By identifying patterns and trends within large datasets, machine learning allows systems to improve their performance over time without being explicitly programmed. It encompasses various techniques, including supervised learning, unsupervised learning, and reinforcement learning, each suited for different types of problems.
Reviewer Profile

5.0

India
“Good Technology and Best Experience”
This course offers a well-structured introduction to key concepts. The lessons are clear, with engaging examples and practical exercises. The instructor explains complex topics simply, making them accessible to beginners. Highly recommended for anyone looking to build a strong foundation in the subject.
Reviewer Profile

5.0

India
“Introduction to Machine Learning and Learning Techniques”
Great learning experience, easy to understand and the tutor is the best.
Reviewer Profile

4.0

India
“Excellent Session on Introduction to Machine Learning”
For beginners, this course can be a great starting point because it provides a basic understanding of the concepts in the domain. However, if one intends to pursue this beyond basics, it can be enhanced by undertaking this class alongside projects or higher-level readings.
Reviewer Profile

5.0

India
“Completed an Online ML Course”
Completed an online ML course, gaining a solid foundation in algorithms, data preprocessing, and model building. Worked on real-world datasets using Python and TensorFlow, enhancing problem-solving and critical thinking. Hands-on projects deepened my understanding, preparing me to tackle AI challenges and build intelligent systems.
Reviewer Profile

5.0

India
“Great to Learn the Introduction to Machine Learning”
Been very grateful for the great learning platform which is giving the opportunity to learn about the introduction to machine learning and artificial intelligence.

Meet your faculty

Meet industry experts who will teach you relevant skills in Supervised Machine Learning

instructor img

Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning
  • 30+ years of experience in data science, ML, and analytics.
  • Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
instructor img

Mr. Bharani Akella

Data Scientist
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.
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