Supervised Learning Courses and Certifications

DeepLearning.AI;  Stanford

Supervised Machine Learning: Regression and Classification

32311 ratings at Coursera

Develop machine learning skills using Python, covering regression and classification techniques with hands-on practice in NumPy and scikit-learn for real-world AI applications.

• Coursera
• 1 day 9 hours 19 minutes
• Self-Paced
• Paid Course

Supervised Machine Learning in Python

Master the most popular supervised machine learning techniques to begin making predictions with labeled data.

• DataCamp
• 1 day 1 hour
• Self-Paced
• Free Trial Available

Supervised Machine Learning in R

Generate, explore, evaluate, and tune the parameters of different supervised machine learning models.

• DataCamp
• 1 day 1 hour
• Self-Paced
• Free Trial Available

Introduction to Supervised Machine Learning

Master supervised machine learning through hands-on wine quality prediction, implementing linear and logistic regression models while exploring feature analysis, gradient descent, and model evaluation techniques.

• CodeSignal
• 4 hours
• Self-Paced
• Free Certificate

Supervised Machine Learning: Regression

833 ratings at Coursera

Explore supervised machine learning regression techniques, from linear models to regularization methods, with hands-on practice in error metrics, data splitting, and model selection for continuous outcome prediction.

• Coursera
• 20 hours 28 minutes
• Self-Paced
• Paid Course

Supervised Machine Learning: Classification

459 ratings at Coursera

Learn to train and evaluate classification models, including logistic regression, decision trees, and ensembles. Gain hands-on experience with best practices like handling unbalanced classes and using various error metrics.

• Coursera
• 1 day 17 minutes
• Self-Paced
• Paid Course

Data Science: Supervised Machine Learning in Python

3554 ratings at Udemy

Full Guide to Implementing Classic Machine Learning Algorithms in Python and with Scikit-Learn

• Udemy
• 6 hours 25 minutes
• Self-Paced
• Paid Course

Introduction to Machine Learning: Supervised Learning

24 ratings at Coursera

Explore supervised ML algorithms, prediction tasks, and model selection. Learn to improve performance using linear/logistic regression, KNN, decision trees, ensembling methods, and kernel techniques like SVM.

• Coursera
• 22 hours 48 minutes
• Self-Paced
• Paid Course

AI skills for Engineers: Supervised Machine Learning

8 ratings at edX

Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems using the Python toolbox scikit-learn.

• edX
• 6 weeks, 6-8 hours/week
• Self-Paced
• Free Online Course (Audit)

The Supervised Machine Learning Bootcamp

1428 ratings at Udemy

Data Science, Python, sk learn, Decision Trees, Random Forests, KNNs, Ridge Lasso Regression, SVMs

• Udemy
• 5 hours 49 minutes
• Self-Paced
• Paid Course

Supervised Learning and Its Applications in Marketing

Learn to apply supervised learning techniques in marketing using Python, focusing on customer segmentation, churn prediction, recommendation systems, and predictive modeling to drive data-driven business decisions.

• Coursera
• 21 hours 53 minutes
• Self-Paced
• Paid Course

Supervised Learning

Master supervised learning algorithms like KNN, SVM, and Random Forest using Sklearn in Python, focusing on practical implementation and real-world problem-solving applications.

• edX
• 6 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course (Audit)

Kaggle;  Amazon Web Services

Supervised Learning

In this course, you'll learn about different types of supervised learning and how to use them to solve real-world problems.

• Udacity
• 17 hours
• Self-Paced
• Paid Course

Data Science Courses

Supervised Learning - STAT 841 Fall 2017

Master supervised learning fundamentals including LDA, PCA, neural networks, SVMs, and CNNs through comprehensive statistical machine learning theory and applications.

• YouTube
• 17 hours 33 minutes
• Self-Paced
• Free Video

Paul Hand

Supervised Machine Learning Review

Comprehensive review of supervised machine learning concepts, focusing on statistical frameworks, loss functions, and the intriguing double-descent phenomenon in neural networks.

• YouTube
• 47 minutes
• Self-Paced
• Free Video