
Explore TensorFlow.js fundamentals, including tensors, operations, and the Layers API. Learn to implement linear and polynomial regression, and solve the XOR problem using neural networks.

Learn to build and deploy custom object detection models using TensorFlow, from data labeling to creating a real-time web app with React.js and TensorFlow.js.

Learn to build a color classifier using TensorFlow.js, covering data collection, cleaning, model creation, training, and prediction in a hands-on, step-by-step approach.

Learn to train machine learning models in the cloud using TensorFlow and Spell, then implement them in browsers with ml5.js. Covers style transfer and text generation with hands-on projects.

Leverage real-time computer vision with Tensorflow.JS and React, exploring facial landmarks, body poses, hand keypoints, and object detection using pre-trained models and webcam input.

Learn to implement deep learning models in JavaScript using TensorFlow.js, covering logistic and linear regression, neural networks, and data preprocessing techniques for browser-based applications.

Learn TensorFlow basics, deep learning concepts, and practical applications through comprehensive tutorials and hands-on projects. Explore neural networks, computer vision, and natural language processing.

Comprehensive Python programming tutorial covering basics to advanced topics, including OOP, multithreading, and database programming, taught by Durga Sir over multiple sessions.

Comprehensive Python programming course covering data structures, algorithms, file handling, and databases for Class 12 Computer Science board exams.

Comprehensive Python programming course covering data types, algorithms, file handling, and advanced topics for Class 12 Computer Science board exam preparation.

Engaging Python series for kids 11-14, covering basics to game creation. Hands-on approach with turtle graphics, variables, loops, functions, and simple game development.

Learn to extract data from websites using Python, BeautifulSoup, and Scrapy. Master HTML parsing, error handling, and site crawling techniques for efficient web scraping projects.

Learn Python web scraping with Beautiful Soup: extract data from websites, download images, and gather information from various sources like college sites, Google blogs, TED talks, and e-commerce platforms.

Learn to extract and parse web data using Beautiful Soup and Python, covering tag navigation, table and XML handling, and practical scraping techniques for various websites.

Learn to extract web data efficiently using Scrapy, covering setup, spider creation, HTML parsing, CSS selectors, and practical challenges for real-world applications.

Learn to extract, process, and store web data efficiently using Scrapy. Covers basic to advanced techniques, real-world projects, and best practices for web scraping.

Learn powerful web scraping with Scrapy: master selectors, spiders, and data extraction techniques. Ideal for beginners seeking to automate data collection from websites efficiently.

Learn to integrate SQLAlchemy with Flask for efficient database operations, covering connections, CRUD operations, and full-stack development with React and Vue.js.

NLP is a field concerned with the ability of a computer to understand, analyze, manipulate and potentially generate human language.In this course we study about NLP and use the NLP toolkit or NLTK in Python.

Aprenda os fundamentos do Processamento de Linguagem Natural em Hindi usando Python e NLTK, incluindo tokenização, remoção de stopwords e stemming.

Feel the real power of Python and programming! The course offers you a unique approach of learning how to code by solving real world problems with OpenCV.