Image Processing in Python for Machine Learning (5.1)

n this video, we'll unravel the essentials of image preprocessing techniques, ensuring your data is primed and ready for your machine learning models. Dive into topics such as resizing, normalization, augmentation, grayscale conversion, and much more. Whether you're a beginner just starting out or an experienced practitioner looking to refine your skills, our step-by-step tutorial promises to equip you with the knowledge you need. Remember, preprocessing is the unsung hero in the machine learning workflow. So, hit that subscribe button, and let's optimize those images together! Code for This Video: https://github.com/jeffheaton/app_deep_learning/blob/pre_summer_2026/t81_558_class_05_1_python_images.ipynb ~~~~~~~~~~~~~~~ COURSE MATERIAL ~~~~~~~~~~~~~~~ 📖 Textbook - Coming soon 😸🐙 GitHub - https://github.com/jeffheaton/app_deep_learning/ ▶️ Play List - https://www.youtube.com/playlist?list=PLjy4p-07OYzuy_lHcRW8lPTLPTTOmUpmi 🏫 WUSTL Course Site - https://sites.wustl.edu/jeffheaton/t81-558/ ~~~~~~~~~~~~~~~ CONNECT ~~~~~~~~~~~~~~~ 🖥️ Website: https://www.heatonresearch.com/ 🐦 Twitter - https://twitter.com/jeffheaton 😸🐙 GitHub - https://github.com/jeffheaton 📸 Instagram - https://www.instagram.com/jeffheatondotcom/ 🦾 Discord: https://discord.gg/3bjthYv ▶️ Subscribe: https://www.youtube.com/c/heatonresearch?sub_confirmation=1 ~~~~~~~~~~~~~~ SUPPORT ME 🙏~~~~~~~~~~~~~~ 🅿 Patreon - https://www.patreon.com/jeffheaton 🙏 Other Ways to Support (some free) - https://www.heatonresearch.com/support.html ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ #MachineLearning #Python #ImageProcessing