Alberta Machine Intelligence Institute
Machine Learning: Algorithms in the Real World
Machine Learning Real World Applications
Learning path or series
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
Free online
Supervised Learning courses 60
Learn Supervised Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Explore subjects
University of Colorado Boulder
Machine Learning: Theory and Hands-on Practice with Python
Develop Foundational Machine Learning Skills
Learning path or series
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
CodeSignal
Journey into Data Science with Python
Build practical data science skills in Python through hands-on work with NumPy, Pandas, visualization, preprocessing, and machine learning. Analyze real datasets while learning how to prepare data, model outcomes, and interpret patterns.
- edX
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
Northeastern University
Machine Learning for Engineers: Algorithms and Applications
This course covers practical algorithms and the theory for machine learning from a variety of perspectives. Topics include supervised learning (generative, discriminative learning, parametric, non-parametric learning, deep neural networks, support vector Machines), unsupervised learning (clustering…
- Coursera
- 2-5 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
CodeSignal
Journey into Machine Learning with Sklearn and Tensorflow
Build practical machine learning skills with scikit-learn and TensorFlow, from data preparation and feature engineering to neural networks and model optimization.
- edX
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
Arizona State University
Introduction to Machine Learning with Python
This course will give you an introduction to machine learning with the Python programming language. You will learn about supervised learning, unsupervised learning, deep learning, image processing, and generative adversarial networks. You will implement machine learning models using Python and will…
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
Xccelerate
Machine Learning Magic: Crafting Algorithms for Smart Solutions
Explore the realms of machine learning and deep learning. Build and evaluate classification and regression models, and understand clustering techniques and neural networks.
- edX
- Self-paced
- Free to audit
- Paid certificate
- Intermediate
Simplilearn
AI ML with Deep Learning and Supervised Models
AI, ML, and Deep Learning Simplified
Learning path or series
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
O.P. Jindal Global University
Machine Learning for Marketing
Learn Machine Learning Techniques in Marketing
Learning path or series
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
Coursera
Zero-Shot & Few-Shot Learning: Master AI with Minimal Data
Zero-Shot & Few-Shot Learning is an intermediate-level course designed for data scientists, ML engineers, and AI practitioners who want to build models that perform well—even when labeled data is limited. Traditional supervised learning breaks down when examples are scarce or tasks are constantly e…
- Coursera
- 30 mins/week
- Self-paced
- Paid · free trial
- Paid certificate
Coursera
Foundations of Machine Learning
Welcome to the Foundations of Machine Learning, your practical guide to fundamental techniques powering data-driven solutions. Master key ML domains—supervised learning (prediction), unsupervised learning (pattern discovery), data preprocessing & feature engineering, and time series forecasting—usi…
- Coursera
- 4 weeks / 6-7 hours per week
- Self-paced
- Paid · free trial
- Paid certificate
EDUCBA
SPSS: Apply & Interpret Logistic Regression Models
5.013 ratingsBuild practical skills in logistic regression and supervised learning using IBM SPSS Statistics through a hands-on, application-focused learning experience. This course introduces the foundations of logistic regression while guiding you through the complete process of preparing data, configuring va…
- Coursera
- 5 hours
- Self-paced
- Paid · free trial
- Paid certificate
O.P. Jindal Global University
Supervised Learning and Its Applications in Marketing
Welcome to the Supervised Learning and Its Applications in Marketing course! Supervised learning is the process of making an algorithm to learn to map an input to a particular output. Supervised learning algorithms can help make predictions for new unseen data. In this course, you will use the Pyth…
- Coursera
- 4 Weeks of study, 5-6 hours/week
- Self-paced
- Paid · free trial
- Paid certificate
Simplilearn
Supervised Learning Regression Classification Clustering
This comprehensive Supervised and Unsupervised Machine Learning program will equip you with essential skills for data modeling and analysis. You’ll master regression techniques, classification models, and clustering algorithms to address real-world challenges and drive impactful data solutions. By…
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
Coursera
Forecast Business Metrics: Uncover Value Drivers
In this short, practical course, you’ll learn how to use supervised learning to forecast key business metrics and uncover the drivers that shape performance. Through hands-on exercises in Python, you’ll build and tune regression and gradient-boosted models to predict outcomes such as next-quarter E…
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate
Coursera
Statistical and Predictive Modeling for Finance
Apply regression, statistical analysis, and supervised learning to evaluate financial performance and predict risk. In this course, you’ll build the quantitative skills used by financial analysts to interpret data and support investment and lending decisions. You’ll begin by calculating and interpr…
- Coursera
- 3 weeks of study, 5–7 hours per week
- Self-paced
- Paid · free trial
- Paid certificate
Coursera
Design Flawless A/B Tests: Uncover Insights
Zero-Shot & Few-Shot Learning is an intermediate-level course designed for data scientists, ML engineers, and AI practitioners who want to build models that perform well—even when labeled data is limited. Traditional supervised learning breaks down when examples are scarce or tasks are constantly e…
- Coursera
- 83 minutes
- Self-paced
- Paid · free trial
- Paid certificate
EDUCBA
Linear Regression & Supervised Learning in Python
4.614 ratingsBuild practical skills in linear regression, Python, and supervised machine learning through a structured, project-driven course. Designed for beginners and aspiring data professionals, this course guides you through the complete regression workflow—from identifying a machine learning use case and…
- Coursera
- 5.5 hours
- Self-paced
- Paid · free trial
- Paid certificate
EDUCBA
Python: Implement & Evaluate Random Forests for ML
Build practical machine learning skills by implementing and evaluating Random Forest models in Python. In this hands-on course, you'll work through a complete supervised learning workflow using the SONAR dataset, from data preparation and exploration to decision tree construction and Random Forest…
- Coursera
- 3 hours
- Self-paced
- Paid · free trial
- Paid certificate
EDUCBA
Applied Python: Web Dev, Machine Learning & Cryptography
Build Web Apps, ML Models & Encrypt Data
Learning path or series
- Coursera
- Self-paced
- Paid · free trial
- Paid certificate