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Build an AutoML web app using Python, Pandas Profiling, PyCaret, and Streamlit in this hands-on tutorial. Learn to create a powerful machine learning tool quickly and efficiently.
Comprehensive guide to building a face detection model using TensorFlow and Python, covering data collection, augmentation, model creation, training, and real-time testing for practical implementation.
Enhance image resolution using ESRGAN and Python. Learn to upscale images up to 4x size with this beginner-friendly tutorial covering repo cloning, model setup, and dependency installation.
Learn to build a real-time Automatic Number Plate Recognition system using Python, TensorFlow, and EasyOCR. Covers plate detection, OCR application, and result saving for practical implementation.
Comprehensive guide to Tensorflow Object Detection: from setup to advanced projects. Learn to build, train, and deploy models for gesture, defect, and sentiment detection using Python, JavaScript, and Raspberry Pi.
Learn to build an Automatic Number Plate Recognition system using Python, OpenCV, and EasyOCR. Master image processing, contour detection, and optical character recognition for practical computer vision applications.
Automate sales forecasting using AutoAI and Python, integrating machine learning pipelines with Excel for efficient and accurate predictions.
Learn to integrate and leverage the ChatGPT API in your projects, exploring its capabilities and potential applications for enhanced AI-powered functionality.
Learn to build a lip-reading application using Python, TensorFlow, and Streamlit. Gain hands-on experience in machine learning and computer vision while creating a practical, cutting-edge project.
Learn to create a deep learning model for lip reading using Python and TensorFlow in this comprehensive tutorial, covering data preparation, model architecture, and implementation techniques.
Build a React app for Stable Diffusion image generation in 15 minutes, combining Python and JavaScript. Includes code, deployment tips, and a challenge to improve upon the previous UI.
Build and deploy a machine learning Cancer Segmentation API using Python, TensorFlow, FastAPI, and Heroku in a quick tutorial. Learn to create a practical ML application for medical imaging analysis.
Build a ML drowsiness detector app with PyTorch YOLOv5 and Tkinter. Detect awake/drowsy states, play alerts for sleeping, and learn object detection implementation in a practical application.
Learn to create an AI-powered rap generator using Python, combining text generation, voice cloning, and lip-syncing technologies to produce custom rap performances.
Build a machine learning app to track deadlifts using Python, Scikit-Learn, MediaPipe, and Tkinter in this coding challenge. Learn to create a practical application combining ML and GUI development.
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