Supervised Learning Courses and Certifications

Designing Machine Learning Workflows in Python

Learn to build pipelines that stand the test of time.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Practicing Machine Learning Interview Questions in Python

Sharpen your knowledge and prepare for your next interview by practicing Python machine learning interview questions.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning Scientist in Python

Discover machine learning with Python and work towards becoming a machine learning scientist. Explore supervised, unsupervised, and deep learning.

• DataCamp
• 3 days 13 hours
• Self-Paced
• Free Trial Available

Hyperparameter Tuning in R

Learn how to tune your model's hyperparameters to get the best predictive results.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Machine Learning Scientist in R

A machine learning scientist researches new approaches and builds machine learning models.

• DataCamp
• 2 days 17 hours
• Self-Paced
• Free Trial Available

Practicing Machine Learning Interview Questions in R

Prepare for your upcoming machine learning interview by working through these practice questions that span across important topics in machine learning.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Career Certificate

Python Machine Learning Course Online (Self-Paced)

Master the fundamentals of machine learning with Python, from regression analysis to classification algorithms, and gain practical skills to solve real-world problems using data science libraries.

• Noble Desktop
• Self-Paced
• $1,895.00

Data Science Dojo

Automating Supervised Machine Learning Pipeline Development

Explore methodologies for automating supervised machine learning pipelines, covering data cleaning, feature engineering, and model development. Gain insights from experienced data scientists on best practices and techniques.

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

Great Learning

Supervised Machine Learning Tutorial - Logistic Regression - Naive Bayes Classifier

Explore logistic regression and Naive Bayes classifiers for supervised machine learning. Learn their advantages, applications, and implementation in classification tasks for data-driven decision making.

• YouTube
• 2 hours 58 minutes
• Self-Paced
• Free Video

Montreal Robotics

Towards Large Behavior Models: Versatile and Dexterous Robots via Supervised Learning

Explore advancements in machine learning for robotics, focusing on creating versatile and dexterous robots through supervised learning and the development of Large Behavior Models.

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

Yacine Mahdid

DeepSeek R1 Theory Overview - From GRPO to Reinforcement Learning and Supervised Fine-Tuning

Dive into a comprehensive breakdown of DeepSeek R1's architecture, exploring its training pipeline from GRPO and reinforcement learning to supervised fine-tuning and neural reward modeling.

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

Machine Learning for Absolute Beginners - Level 1

33805 ratings at Udemy

Learn the Fundamental Concepts of Artificial Intelligence and Machine Learning as the Next Game-Changing Technology

• Udemy
• 4 hours 28 minutes
• Self-Paced
• Paid Course

Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

22367 ratings at Udemy

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

• Udemy
• 6 hours 17 minutes
• Self-Paced
• Paid Course

PioPetro

Supervised Learning Algorithms - Lecture 3

Explore supervised learning algorithms, model evaluation, and Python implementation for classification and regression tasks in petroleum engineering and energy transition.

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

WeAreDevelopers

Self-Supervised Learning - Towards Autonomously Learning Machines

Explore cutting-edge AI techniques for autonomous learning machines, focusing on self-supervised learning methods that reduce reliance on labeled data and enhance general understanding.

• YouTube
• 31 minutes
• Self-Paced
• Conference Talk