Nicholas Renotte Courses

Training My Deadlift Bot With MediaPipe and OpenCV

Learn to create a deadlift bot using MediaPipe and OpenCV in this hands-on live stream, exploring practical applications of computer vision and machine learning for fitness tracking.

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

Building a Neural Network with PyTorch - Coding Challenge

Learn to build a neural network using PyTorch in a fast-paced, 15-minute coding challenge. Follow along as the instructor attempts this task for the first time, offering insights and practical tips.

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

Building the Gradient Descent Algorithm - Coding Challenge

Hands-on tutorial for building a gradient descent algorithm from scratch in Python, implementing a regression machine learning model using only NumPy.

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

Building a Machine Learning API - Coding Challenge

Develop a machine learning API using Python, FastAPI, and Scikit-Learn, then deploy it on Heroku in this fast-paced coding challenge.

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

Can We Use ML to Understand Data Scientists - AI4Code Kaggle Competition EDA

Explore machine learning techniques to analyze data scientists' behavior through the AI4Code Kaggle competition, focusing on exploratory data analysis and insights.

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

Coming Up With Data Science and Machine Learning Project Ideas

Explore innovative data science and machine learning project ideas in this live coding session, gaining inspiration and insights for your next venture.

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

Exploring the New Hugging Face Diffusers Package - Diffusion Models With Python

Dive into Hugging Face Diffusers for Python, exploring diffusion models and their applications in deep learning. Gain hands-on experience with this powerful package for AI-driven image generation.

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

Using Scikit-Learn Pipelines for Data Preprocessing with Python

Deep dive into Scikit-Learn Pipelines for efficient data preprocessing in Python, enhancing your machine learning workflow and streamlining model development.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Can We Detect Objects With the New YOLOv6 Model?

Explore object detection using YOLOv6, a cutting-edge model. Learn implementation techniques and practical applications in this hands-on tutorial.

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

Attempting to Clone My Voice Using ML

Explore voice cloning with machine learning using CorentinJ's package. Setup, test, and develop on your PC using Python in this hands-on coding livestream.

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

Can We Clone My Voice Using ML?

Explore voice cloning with machine learning using CorentinJ's package. Setup, test, and develop on your PC using Python in this hands-on live stream.

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

Reinforcement Learning for Gaming - Full Python Course

Comprehensive guide to applying reinforcement learning in gaming using Python and Stable Baselines 3, covering Mario, Doom, Street Fighter, and Chrome Dino with practical missions and best practices.

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

Build a Chrome Dino Game AI Model with Python - AI Learns to Play Dino Game

Develop a reinforcement learning AI model using Python and deep learning to master the Chrome Dino game, from environment setup to gameplay implementation.

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

Uncover What Deep CNNs Are Doing With Python and Tensorflow

Visualize CNN layer outputs using Python and TensorFlow to understand how computer vision models make predictions, with step-by-step guidance and code examples.

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

Reading, Transforming, and Exporting Videos Using OpenCV and Python

Learn to read, transform, and export videos using OpenCV and Python. Master video capture, property manipulation, and rendering techniques in this comprehensive tutorial.

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