Social And Emotional Learning Courses

Nicholas Renotte

Build a Comment Toxicity Model with Deep Learning and Python

Learn to detect toxic comments using deep learning and Python. Build a model, prepare data, make predictions, evaluate results, and create a Gradio app for practical application.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Getting Started with Python Deep Learning for Beginners

Learn to set up Python, Jupyter, and TensorFlow for deep learning. Create environments, configure GPU, and train an image classifier. Perfect for beginners starting their deep learning journey.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Street Fighter AI Model with Python - Gaming Reinforcement Learning Full Course

Learn to create an AI model for Street Fighter using Python, covering setup, preprocessing, hyperparameter tuning, and model fine-tuning. Gain hands-on experience in gaming reinforcement learning.

• YouTube
• 2 hours 41 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Deep Q&A Web App with Transformers and Anvil - Python Deep Learning App

Learn to create a deep learning Q&A web app using Python, Transformers, and Anvil. Covers model loading, app development, integration, and deployment in a hands-on tutorial.

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

Nicholas Renotte

Build a Doom AI Model with Python - Gaming Reinforcement Learning Full Course

Learn to create AI models for Doom using Python, VizDoom, OpenAI Gym, and Stable Baselines 3. Master reinforcement learning techniques, curriculum learning, and reward shaping for game AI development.

• YouTube
• 3 hours 17 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Mario AI Model with Python - Gaming Reinforcement Learning

Learn to create an AI model that plays Super Mario using Python and reinforcement learning. Set up the environment, preprocess data, build and train the model, and see the results in action.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Deep Facial Recognition App - Collecting Data - Deep Learning Project Tutorial

Learn to build a deep facial recognition app by collecting and processing data, using OpenCV for webcam access, and preparing images for model training.

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

Nicholas Renotte

Build a Deep Facial Recognition App from Paper to Code - Deep Learning Project Tutorial

Learn to build a deep facial recognition app using TensorFlow, from setting up dependencies to creating data structures. Implement Siamese Neural Networks for one-shot image recognition in this hands-on tutorial.

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

Nicholas Renotte

Automatic Summarization Using Deep Learning - Abstractive Summarization With Pegasus

Learn to use Pegasus for automatic text summarization with Python and Transformers. Covers installation, model configuration, and summarizing Wikipedia articles, news, and scientific papers.

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

Nicholas Renotte

Extract Drug Labels Using Deep Learning with PaddleOCR and Python

Learn to extract prescription medication labels using PaddleOCR and Python. Gain hands-on experience in optical character recognition, from installation to visualization, with potential applications in accessibility.

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

Nicholas Renotte

Pose Estimation with the Fastest Python Deep Learning Model - MoveNet Lightning

Learn to implement real-time pose estimation using MoveNet Lightning, a fast Python deep learning model. Covers installation, TFLite integration, rendering results, and OpenCV implementation.

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

Nicholas Renotte

Sign Language Detection Using Action Recognition with Python - LSTM Deep Learning Model

Learn to build a sign language detection system using action recognition, LSTM, and Python. Extract keypoints, create datasets, train deep learning models, and make real-time predictions for sign language interpretation.

• YouTube
• 2 hours 27 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Machine Learning Explainability & Bias Detection with Watson OpenScale

Learn to monitor, explain, and debias machine learning models using Watson OpenScale. Explore performance metrics, interpret predictions, and detect model drift for improved AI transparency and reliability.

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

Nicholas Renotte

Reinforcement Learning - Full Course Using Python

Comprehensive introduction to reinforcement learning using Python, covering fundamentals, custom environments, and practical projects like Atari games and autonomous driving.

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

Nicholas Renotte

Automate Stocks and Crypto Research with Python and Deep Learning - Full Python Project

Learn to automate stock and crypto research using Python, web scraping, and deep learning. Build a pipeline to gather, summarize, and analyze financial news for various assets.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video