Machine Learning Courses and Certifications

Code With Aarohi

Machine Learning Tutorial - Practical Implementation and Explanation of ML Algorithms

Master machine learning algorithms through hands-on Python implementation, covering regression, classification, clustering, and key concepts like overfitting and PCA.

• YouTube
• 4 hours 28 minutes
• Self-Paced
• Free Video

Abhishek Thakur

Applied Machine Learning Framework

Master building a comprehensive ML framework from cross-validation to categorical features, binary classification metrics, and entity embeddings for real-world applications.

• YouTube
• 5 hours 22 minutes
• Self-Paced
• Free Video

Shashank Kalanithi

Hands-On Machine Learning

Master practical machine learning through hands-on projects covering classification, SVMs, decision trees, ensemble methods, and unsupervised learning techniques.

• YouTube
• 5 hours 30 minutes
• Self-Paced
• Free Video

Pascal Poupart

Introduction to Machine Learning - Spring 2019 - University of Waterloo

Dive into comprehensive machine learning fundamentals covering neural networks, SVMs, deep learning, CNNs, transformers, and ensemble methods from University of Waterloo.

• YouTube
• 1 day 4 hours 26 minutes
• Self-Paced
• Free Video

Coding Train

Introduction to Machine Learning - Intelligence and Learning - Session 3

Explore machine learning fundamentals through linear regression, gradient descent, and nearest neighbors algorithms with hands-on coding challenges and mathematical foundations.

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

AssemblyAI

Machine Learning From Scratch

Master 10 essential ML algorithms by building KNN, Linear/Logistic Regression, Decision Trees, Random Forest, Naive Bayes, PCA, Perceptron, SVM, and K-Means from scratch in Python.

• YouTube
• 2 hours 52 minutes
• Self-Paced
• Free Video

Weights & Biases

Introduction to Machine Learning

Discover fundamental machine learning concepts from basic models to advanced neural networks including CNNs, RNNs, and text processing techniques in this comprehensive introduction.

• YouTube
• 3 hours 9 minutes
• Self-Paced
• Free Video

Weights & Biases

Math for Machine Learning

Master essential mathematical foundations including linear algebra, calculus, and probability theory specifically designed for machine learning applications.

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

Nicholas Renotte

Building Full-Stack Machine Learning Apps with Watson Machine Learning

Master end-to-end machine learning app development from Python data analysis to deploying MERN stack applications with Watson Machine Learning integration.

• YouTube
• 2 hours 56 minutes
• Self-Paced
• Free Video

CodeEmporium

The Math You Should Know for Machine Learning

Master essential mathematical concepts for machine learning including probability, linear regression, PCA, gradient descent, and neural network backpropagation.

• YouTube
• 4 hours 53 minutes
• Self-Paced
• Free Video

Patrick Loeber

Machine Learning from Scratch - Python Tutorials

Master machine learning algorithms by building KNN, regression, SVM, decision trees, clustering, and more from scratch using Python without external libraries.

• YouTube
• 4 hours 53 minutes
• Self-Paced
• Free Video

nanohubtechtalks

Hands-on Data Science and Machine Learning Training Series

Master data science and machine learning through hands-on tutorials covering neural networks, unsupervised learning, and research applications—no coding experience needed.

• YouTube
• 22 hours 45 minutes
• Self-Paced
• Free Video

Data Science Courses

Machine Learning and Classification - STAT 441/841 CM 763 - Fall 2015

Master classification algorithms from linear discriminants to neural networks, covering PCA, SVM, decision trees, boosting, and PAC learning theory.

• YouTube
• 20 hours 42 minutes
• Self-Paced
• Free Video

Harvard CMSA

Mathematics and Machine Learning Program - September 3 to November 1, 2024

Explore cutting-edge intersections of mathematics and AI through expert talks on theorem proving, neural networks, and automated mathematical discovery at Harvard CMSA.

• YouTube
• 2 days 18 hours 48 minutes
• Self-Paced
• Free Video

Great Learning

Python Machine Learning for Beginners

Master Python fundamentals and essential libraries like NumPy, Pandas, and Matplotlib for machine learning applications in this comprehensive 20+ hour program.

• YouTube
• 20 hours 51 minutes
• Self-Paced
• Free Video