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Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
Fractals and Scaling
Bacterial Genomes II: Accessing and Analysing Microbial Genome Data Using Artemis
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Learn to use Pegasus for automatic text summarization with Python and Transformers. Covers installation, model configuration, and summarizing Wikipedia articles, news, and scientific papers.
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.
Comprehensive Python tutorial covering fundamentals, data structures, control flow, functions, OOP, modules, file handling, and math operations, with practical data science applications and projects.
Learn Python conditions and loops for data science, covering if-else statements, logical operators, loop types, and iterating through lists and dictionaries with practical applications.
Learn essential Python concepts for data science: variables, data types, lists, and dictionaries. Gain practical skills through hands-on examples and clear explanations.
Learn Python for data science: set up Jupyter Notebooks, understand its basics, write your first code, and explore Python in various environments. Perfect for beginners starting their data science journey.
Learn to build a language translation app using Python, Hugging Face Transformers, and Gradio. Covers installation, text translation with deep learning, and creating a lightweight ML app interface.
Learn to implement drowsiness detection using YOLO, PyTorch, and Python. Covers object detection, model fine-tuning, and real-time application for driver safety.
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.
Learn to rapidly build and evaluate a heart disease prediction model using PyCaret, a low-code ML library. Covers data loading, model training, testing, and saving in just 12 lines of code.
Learn to create a Python app for grammar correction using Gramformer and Gradio. Develop skills in deep learning, natural language processing, and app deployment for improved writing assistance.
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.
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.
Comprehensive introduction to reinforcement learning using Python, covering fundamentals, custom environments, and practical projects like Atari games and autonomous driving.
Learn to create AI-powered virtual backgrounds using Python, OpenCV, and BodyPix. Segment your body in real-time, remove backgrounds, and apply custom virtual backgrounds without a green screen.
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