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Machine Learning Algorithms: Supervised Learning Tip to Tail (Coursera) Coursera
Alberta Machine Intelligence Institute

Machine Learning Algorithms: Supervised Learning Tip to Tail (Coursera)

Data Science

Dive into the world of Machine Learning Algorithms with our Supervised Learning Tip to Tail course. This engaging program covers essential techniques like Decision Trees, K-Nearest Neighbors, Support Vector Machines, and provides practical applications through real-world case studies. Whether you're a data scientist or business analyst, this course will equip you with the skills needed to tackle complex machine learning projects effectively.

Jun 29th 2026
4 Weeks
ML Algorithms Machine Learning
Details
Machine Learning Models in Science (Coursera) Coursera
LearnQuest

Machine Learning Models in Science (Coursera)

Data Science

Embark on a journey into the world of applying machine learning techniques to solve complex scientific challenges. This course will guide you through every step of the machine learning pipeline, from data cleaning and transformation to running advanced algorithms. Perfect for scientists, researchers, and anyone interested in leveraging AI for problem-solving.

Jun 29th 2026
4 Weeks
Algorithms Machine Learning Neural Networks
Details
Introduction to Machine Learning in Sports Analytics (Coursera) Coursera
University of Michigan

Introduction to Machine Learning in Sports Analytics (Coursera)

Statistics & Data Analysis Data Science

Dive deep into the world of sports analytics with our Introduction to Machine Learning in Sports Analytics course. Gain expertise in applying machine learning techniques using Python's scikit-learn toolkit on real-world athletic datasets. Explore various algorithms and learn how to predict outcomes in professional sports, enhancing your understanding and skills in data analysis.

Jun 29th 2026
4 Weeks
Machine Learning Linear Regression Logistic Regression
Details
Trees, SVM and Unsupervised Learning (Coursera) Coursera
University of Colorado Boulder

Trees, SVM and Unsupervised Learning (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Trees, SVM and Unsupervised Learning' - an advanced course designed to equip you with the skills needed to construct sophisticated predictive models using support vector machines (SVM), decision trees, neural networks, and XG boost. This course is perfect for data scientists and machine learning enthusiasts looking to expand their expertise in classification techniques.

Jun 29th 2026
4 Weeks
Statistics Regression Neural Networks
Details
Classification Analysis (Coursera) Coursera
University of Colorado Boulder

Classification Analysis (Coursera)

Statistics & Data Analysis Data Science

Dive into the 'Classification Analysis' course and unlock a deep understanding of how to classify data using various powerful algorithms. This comprehensive course on Coursera will guide you through key classifiers like K-Nearest Neighbors (KNN), Decision Trees, Support Vector Machines (SVM), Naive Bayes, and Logistic Regression. You'll gain practical experience by applying these techniques to actual datasets, enhancing your ability to perform data analysis effectively.

Jun 22nd 2026
5-12 Weeks
Classification Logistic Regression Support Vector Machines
Details
Machine Learning Using SAS Viya (Coursera) Coursera
SAS

Machine Learning Using SAS Viya (Coursera)

Data Science

Discover the fundamentals of supervised machine learning models using SAS Viya in this engaging online course. Gain a strong grasp on theory, practical application, and the entire analytical life cycle—from problem understanding to model deployment. Perfect for data scientists, analysts, and professionals looking to enhance their skills in predictive analytics and solve complex business problems.

Jun 8th 2026
5-12 Weeks
Algorithms Machine Learning Neural Networks
Details
Machine Learning Algorithms (Coursera) Coursera
Sungkyunkwan University - SKKU

Machine Learning Algorithms (Coursera)

CS: Software Engineering Data Science

Dive into the core concepts of Machine Learning with our expert-led course. Gain a deep understanding of key algorithms such as Naïve Bayes, Support Vector Machines, Decision Trees, and Clustering. Perfect for those comfortable with Python programming and basic mathematics including matrix operations and conditional probability.

Jun 8th 2026
4 Weeks
Machine Learning Clustering Support Vector Machines
Details
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