Build and Integrate Your Own Custom Chatbot to a Website - Python and JavaScript
Learn to build and integrate a custom chatbot into a website using Python, Flask, and JavaScript in this hands-on project. Gain practical skills in AI development and web integration.
HuggingFace Crash Course - Sentiment Analysis, Model Hub, Fine Tuning
Comprehensive introduction to HuggingFace and Transformers library, covering sentiment analysis, Model Hub exploration, and fine-tuning techniques for NLP tasks.
MongoDB Crash Course With Python
Learn MongoDB with Python: setup, PyMongo usage, and essential operations for inserting, updating, deleting, and finding documents in this comprehensive crash course.
TensorFlow 2 Beginner Course
Comprehensive introduction to TensorFlow 2.0 and Keras, covering key concepts and practical applications in deep learning through hands-on projects and real-world examples.
Autoencoder in PyTorch - Theory & Implementation
Learn to implement Autoencoders in PyTorch, covering theory, data loading, simple and CNN architectures, training loops, and image plotting. Gain practical deep learning skills through hands-on coding.
PyTorch Time Sequence Prediction With LSTM - Forecasting Tutorial
Learn to predict time sequences using PyTorch and LSTMs. Create sine waves, build an LSTM model, implement a training loop, and perform final testing for accurate forecasting.
Deep Learning With PyTorch - Full Course
Comprehensive PyTorch tutorial covering fundamentals, advanced concepts, and practical implementations for deep learning, from tensor basics to CNNs and transfer learning.
Create a Chatbot GUI Application With Tkinter - Python Tutorial
Learn to build a chatbot GUI application using Python and Tkinter. Covers project setup, chatbot implementation, and GUI development for a practical, interactive programming experience.
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.
NumPy Crash Course - Complete Tutorial
Comprehensive tutorial covering essential NumPy functions, from basic operations to advanced techniques like linear algebra, with practical examples and performance comparisons.
Complete Typescript in Under 5 Hours
Comprehensive TypeScript tutorial covering key concepts, from basic types to advanced features like generics and type narrowing, with practical examples and real-world project setup.
PowerPoint 2016 Beginner Tutorial
Learn to create, edit, and enhance presentations using PowerPoint 2016. Master essential features like slide management, text formatting, graphics insertion, transitions, and animations for effective visual communication.
SharePoint Online Advanced Tutorial
Explore advanced SharePoint Online features: alerts, search, discussion boards, surveys, Office 365 integration, and OneDrive. Enhance collaboration and productivity with practical tools and techniques.
CSS for Non-Web Developers - Tutorial - Part 1
Learn essential CSS properties for non-web developers, covering selectors, colors, layouts, box model, flexbox, and positioning. Master the basics to style your projects effectively.
MongoDB + Python - CRUD, Relationships and More
Learn to use MongoDB with Python: setup Atlas, connect databases, understand document models, perform CRUD operations, and explore relationships in this comprehensive tutorial.
Mini Python Projects for Intermediates
Learn to build three intermediate Python projects: a shortest path finder, NBA stats tracker, and currency converter. Enhance your skills with practical coding examples and step-by-step guidance.
An Introduction to Kubernetes - For Beginners
Comprehensive introduction to Kubernetes, covering terminology, architecture, cluster creation, and practical deployment. Includes hands-on demo for beginners to set up and use Kubernetes effectively.
AKS VS Code Tools Extension
Explore the AKS VS Code extension for streamlined Azure Kubernetes Service management, diagnostics, and deployment workflows, enhancing developer productivity within the familiar VS Code environment.
Modern Debugging in VS Code - SSH, Remote and Live Debugging in VS Code with Lightrun
Explore advanced debugging techniques in VS Code, including SSH, remote, and live debugging with Lightrun. Learn to debug applications without stopping them, regardless of their location.
Machine Learning Experimentation in VS Code with DVC Extension
Learn to manage and reproduce machine learning projects using DVC and its VS Code extension. Track datasets, models, and experiments, with visualization and comparison features right in your development environment.
A Quick Guide to Machine Learning
Explore foundational machine learning concepts and their practical applications using Visual Studio Code. Learn through demos, model training, and discussions on responsible AI.