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Computer Vision crash course PART 2: Setting up the environment
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In this 5 part video series you learn how to do machine learning for image classification within one hour. We recommend to spend a day or two to experiment with this before attending our other educations on conceptual machine learning and MLOps.
Video 1: Working with images in Python
Video 2: Setting up the Colab and GitHub environment
Video 3: Exploring the sklearn dataset
Video 4: Training and evaluating a classification model
Video 5: Predicting our own images and saving the model
The exercise uses Python, Google Colab and sklearn.
Video 1: Working with images in Python
Video 2: Setting up the Colab and GitHub environment
Video 3: Exploring the sklearn dataset
Video 4: Training and evaluating a classification model
Video 5: Predicting our own images and saving the model
The exercise uses Python, Google Colab and sklearn.
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