Supervised Learning Courses and Certifications

Generative Models With Domain Knowledge for Weakly Supervised Clustering

Explore deep generative models for weakly supervised clustering, incorporating domain knowledge and survival data to guide algorithms towards medically meaningful findings in biomedical datasets.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

Weakly-Supervised, Large-Scale Computational Pathology for Diagnosis and Prognosis - Max Lu

Explore machine learning models for histopathology analysis, enabling large-scale cancer diagnosis and prognosis without manual annotations. Learn about innovative approaches in computational pathology.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Observational Supervision for Medical Image Classification

Exploring gaze data as a novel supervision source for training deep learning models in medical image classification, focusing on chest X-rays and brain MRI scans for improved efficiency and accuracy.

• YouTube
• 36 minutes
• On-Demand
• Free Video

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
• On-Demand
• Free Certificate

Introduction to Machine Learning: Supervised Learning

60 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
• 1 day 15 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Supervised Text Classification for Marketing Analytics

14 ratings at Coursera

Learn to use supervised deep learning for text classification in marketing analytics, covering machine learning workflows, neural networks, and practical implementation using Google Colab and Python.

• Coursera
• 12 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

DeepLearning.AI;  Stanford

Supervised Machine Learning: Regression and Classification

25738 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
• On-Demand
• Free Online Course (Audit)

Data Science: Supervised Machine Learning in Python

3453 ratings at Udemy

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

• Udemy
• 6 hours 24 minutes
• On-Demand
• Paid Course

The Supervised Machine Learning Bootcamp

1258 ratings at Udemy

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

• Udemy
• 5 hours 49 minutes
• On-Demand
• Paid Course

Supervised Machine Learning: Regression

662 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 48 minutes
• On-Demand
• Free Online Course (Audit)

Supervised Machine Learning: Classification

378 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 58 minutes
• On-Demand
• Free Online Course (Audit)

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
• On-Demand
• Free Online Course (Audit)

AI skills for Engineers: Supervised Machine Learning

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 a week
• On-Demand
• Free Online Course (Audit)

Supervised Learning Essential Training

164 ratings at LinkedIn Learning

This mid-level course takes you through how to create one of the most common types of machine learning: supervised learning models.

• LinkedIn Learning
• 1 hour 28 minutes
• On-Demand
• Free Trial Available

University of Maryland, Baltimore County;  University System of Maryland

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 a week
• On-Demand
• Free Online Course (Audit)