Machine Learning Courses and Certifications

James Briggs

Streamlit for Machine Learning - Full Course

Master Streamlit to build interactive ML applications with caching, Bootstrap components, custom React elements, and deployment strategies.

• YouTube
• 1 hour 48 minutes
• Self-Paced
• Free Video

1littlecoder

Kaggle 30 Days of ML Learning - Beginner-Friendly Machine Learning Challenge

Embark on a 30-day journey through Python fundamentals and machine learning essentials, from basic programming concepts to advanced ML techniques like XGBoost and SHAP interpretability.

• YouTube
• 10 hours 57 minutes
• Self-Paced
• Free Video

Databricks

An Introduction to Machine Learning with Apache Spark

Discover Apache Spark's machine learning capabilities through data import, feature engineering, model pipelines, and distributed training techniques.

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

Simons Foundation

Statistical Physics of Machine Learning

Explore the intersection of statistical physics and machine learning, examining generative models, attention mechanisms, and uncertainty estimation in neural networks through theoretical physics perspectives.

• YouTube
• 1 hour 4 minutes
• Self-Paced
• Free Video

Great Learning

Decision Tree in Data Mining and Machine Learning - Algorithm Tutorial

This 'Decision Tree in Data Mining' video will help you to comprehensively learn all the concepts of decision tree such as Impurity, Gini index, and pruning.

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

Great Learning

Statistics for Machine Learning - Full Course

Comprehensive overview of statistical concepts for machine learning, covering probability, distributions, hypothesis testing, and practical implementation in R.

• YouTube
• 5 hours 21 minutes
• Self-Paced
• Free Video

Great Learning

Linear Regression Machine Learning - Linear Regression in R and Python

This “Linear Regression” Tutorial by Great Learning would help you to comprehensively learn all the underlying concepts of Linear Regression. You will also learn how to implement linear regression in both R language and Python language

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

Krish Naik

SVM Kernels In-Depth Intuition - Polynomial Kernels Part 3 - Machine Learning Data Science

Explore polynomial kernels in SVM, understanding their intuition, use cases, and hyperparameter tuning for enhanced machine learning model performance.

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

Krish Naik

Fake News Classifier with Machine Learning and NLP - Part 1

Learn to build a fake news classifier using machine learning and NLP techniques. Covers data preprocessing, feature extraction, and multinomial classification algorithms for detecting misinformation.

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

Code Monkey

How to Solve a Match-3 with Machine Learning - Unity ML-Agents

Learn to implement machine learning in a Match-3 game using Unity ML-Agents, covering setup, training, and results analysis for AI-powered gameplay optimization.

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

TensorFlow

Cloud TPU Pods - AI Supercomputing for Large Machine Learning Problems

Explore Cloud TPU Pods for AI supercomputing, enabling large-scale model parallelism in deep learning. Learn technical details and new TensorFlow features for accelerating machine learning workloads.

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

TensorFlow

TensorFlow Extended - Machine Learning Pipelines and Model Understanding

Explore TFX for building production-ready ML pipelines. Learn data processing, model analysis, and versioning techniques for large datasets, enhancing your machine learning workflow.

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

TensorFlow

Machine Learning on Your Device - The Options

Explore TensorFlow's options for integrating machine learning into mobile apps and edge devices, from model training to deployment using TensorFlow Lite.

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

TensorFlow

Advances in Machine Learning and TensorFlow - Google I/O '18

Explore cutting-edge machine learning applications in robotics, astronomy, and art through short presentations by top TensorFlow researchers at Google I/O '18.

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

Python Engineer

Machine Learning From Scratch in Python - Full Course With 12 Algorithms

Comprehensive Python implementation of 12 popular machine learning algorithms from scratch, covering KNN, regression, SVM, decision trees, random forests, PCA, K-means, AdaBoost, and LDA.

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