Supervised Learning Courses and Certifications

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
• On-Demand
• Free Video

Great Learning

Supervised Machine Learning with Tree-Based Models

Learn supervised machine learning using tree-based models. Explore decision trees and random forests, with practical Python implementations for real-world problem-solving and performance optimization.

• YouTube
• 1 hour 42 minutes
• On-Demand
• Free Video

Great Learning

Supervised Learning Full Course - Supervised Learning Tutorial for Beginners

In this video we will be explaining various advantages in detail. We will also be covering different topics such as, What is Machine Learning, What are their types, Python implementation for Regression, and much more.

• YouTube
• 4 hours 46 minutes
• On-Demand
• 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
• On-Demand
• Free Video

Simons Institute

Recent Developments in Supervised Learning With Noise

Explore recent advancements in supervised learning with noise, focusing on high-dimensional scenarios, noise models, and innovative techniques to overcome learning challenges.

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

Great Learning

Supervised Learning Projects Tutorial - Machine Learning Tutorial

Hands-on tutorial exploring supervised learning projects, including COVID-19 prediction, Pokémon analysis, and credit card fraud detection. Covers data gathering, visualization, and practical implementation of machine learning algorithms.

• YouTube
• 2 hours 59 minutes
• On-Demand
• Free Video

Simons Institute

Machine Teaching: Supervised Learning and Beyond

Explore machine teaching concepts, from teaching dimension in classification to optimal control in risk minimization, with applications in reinforcement learning and games.

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

Institute for Pure & Applied Mathematics (IPAM)

A Supervised Learning Scheme for Hamilton-Jacobi Equation via Density Coupling

Discover a supervised learning approach for solving high-dimensional Hamilton-Jacobi PDEs using Wasserstein Hamiltonian flows and density coupling strategies.

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

UofU Data Science

Supervised Learning: The Setup and Hypothesis Spaces - Lecture 2

Dive into supervised learning fundamentals through interactive examples, exploring instance spaces, label spaces, and hypothesis spaces while understanding their crucial roles in machine learning.

• YouTube
• 1 hour 20 minutes
• On-Demand
• Free Video

UofU Data Science

Supervised Learning: Instance Space, Label Space, and Hypothesis Space - Lecture 2

Dive into supervised learning fundamentals through interactive examples, exploring instance spaces, label spaces, and hypothesis spaces while understanding their crucial roles in machine learning.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

Serrano.Academy

Supervised Learning

Explore linear regression, logistic regression, perceptron algorithm, and support vector machines in this friendly introduction to key supervised learning concepts.

• YouTube
• 1 hour 30 minutes
• On-Demand
• Free Video

University of Alberta;  Alberta Machine Intelligence Institute

Prediction and Control with Function Approximation

23 reviews

Explore advanced reinforcement learning techniques for large state spaces, including function approximation, feature construction, and policy gradient methods. Apply these concepts to solve continuous-state control tasks.

• Coursera
• 21 hours 51 minutes
• On-Demand
• Paid Course

Supervised Learning with scikit-learn

150 ratings at DataCamp

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Supervised Learning in R: Classification

27 ratings at DataCamp

In this course you will learn the basics of machine learning for classification.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Supervised Learning in R: Regression

13 ratings at DataCamp

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available