Social And Emotional Learning Courses

Data Professor

Machine Learning in R - Repurpose Machine Learning Code for New Data

Learn to adapt machine learning code in R for new datasets. Explore data understanding, visualization, and model building techniques using the DHFR dataset as an example.

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

Chris Hay

Introduction to Colyseus and Xterm.js - Building a Social Terminal in JavaScript and Node.js

Learn to build a real-time social terminal using Colyseus, xterm.js, JavaScript, and Node.js. Explore game engine concepts for metaverse applications and create interactive, multi-user experiences.

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

CodeEmporium

Preprocessing Data for Machine Learning - Deep Dive

Comprehensive guide to preprocessing data for logistic regression, covering standardization, encoding, data imbalance, correlation, multicollinearity, and missing data handling techniques.

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

1littlecoder

What is Interpretable Machine Learning - ML Explainability - with Python LIME Shap Tutorial

Explore interpretable machine learning with Python, covering LIME and SHAP techniques for explainable AI. Learn why ML explainability matters and how to implement it in your projects.

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

Venelin Valkov

Machine Learning Engineer Mock Interview for Meta with ChatGPT

Simulated machine learning engineer interview using ChatGPT, covering key ML concepts, coding tasks, and system design. Explores AI's ability to handle technical questions and practical scenarios.

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

Venelin Valkov

Getting Started with PyTorch Lightning for Deep Learning

Explore PyTorch Lightning for easier Deep Learning projects, using Google's GoEmotions dataset to build an emotion classification model with practical coding examples.

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

Venelin Valkov

3D Photo Inpainting Python Tutorial - Turn Any Picture Into 3D Photo with Machine Learning

Learn to create stunning 3D photos from regular images using machine learning and Python. Explore the process of 3D photo inpainting, from setup to final results, in this hands-on tutorial.

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

Venelin Valkov

Reproducible Machine Learning and Experiment Tracking Pipeline with Python and DVC

Learn to build reproducible machine learning pipelines using Python and DVC. Track experiments, manage data versions, and compare model metrics for improved ML workflow efficiency.

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

Venelin Valkov

Transfer Learning for Image Classification with PyTorch & Python Tutorial - Traffic Sign Recognition

Learn to classify traffic signs using transfer learning with PyTorch. Explore data, build datasets, train a pre-trained ResNet model, evaluate performance, and make predictions on new images.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

Venelin Valkov

OpenCV Python Tutorial for Beginners - Image Processing for Computer Vision & Deep Learning

Comprehensive guide to image processing with OpenCV in Python, covering essential techniques from basic operations to advanced manipulations for computer vision applications.

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

Venelin Valkov

Pandas Tutorial for Beginners - Data Analysis for Machine Learning with Python

Learn essential Pandas operations for effective data analysis in Python, including handling missing values, manipulating columns, and basic plotting techniques.

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

Venelin Valkov

Build a Neural Network with Python Tutorial - Deep Learning with PyTorch

Learn to build, train, and evaluate a neural network for weather prediction using PyTorch. Covers data preprocessing, model architecture, GPU acceleration, and practical applications.

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

Venelin Valkov

What Is a Neural Network? - Machine Learning for JavaScript Hackers with TensorFlow.js

Explore neural networks, perceptrons, and sigmoid neurons using TensorFlow.js. Learn about activation functions, network architecture, and weight initialization for machine learning in JavaScript.

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

Venelin Valkov

Predicting Diabetes with Logistic Regression in TensorFlow.js - Deep Learning for JavaScript Hackers

Learn to build and train logistic regression models in TensorFlow.js for diabetes prediction. Covers data visualization, dataset creation, model evaluation, and advanced techniques.

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

Nicholas Renotte

Build a Generative Adversarial Neural Network with Tensorflow and Python - Deep Learning Projects

Learn to build a Generative Adversarial Network from scratch using Python and TensorFlow. Master data visualization, neural network construction, custom training loops, and image generation in this hands-on deep learning project.

• YouTube
• 2 hours 1 minute
• Self-Paced
• Free Video