Detect Steel Plate Defects with ML

The video tutorial covers the process of detecting faults in steel plates using image analysis. It explains the preparation of data, feature selection, and the use of one-hot encoding for classification. The tutorial demonstrates data visualization, outlier detection, and balancing techniques. It then guides through building and training a neural network with Keras, evaluating its performance, and comparing it with other classifiers using SKLearn.

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