Data Science amp Machine Learning Project Part 4 Feature Engineering Image Classification

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=sWAPtaBZKBQ

In this video, we will use cropped images and apply wavelet transform to extract meaning features that can help with image identification. You need to understand many important concepts such as time vs frequency domain, fourier transform, representing images as frequency etc. You will find below resources to understand these concepts. USing wavelet transform and a raw pixel image we will create our X and use class labels as y. These X and y will be used for model training. Feature engineering techniques in this tutorial will enhance your understanding on how they can be used to create powerful prediction function. • Code: https://github.com/codebasics/py/blob... • Resources to understand signal processing concepts: • My friend Iman's youtube channel: / @kuchdelan • Representing image as a frequency: • Frequency concept in an image! • Fourier transform: • But what is the Fourier Transform? A... • Special thanks to, • Debjyoti Paul (Amazon Data Scientist): For help with entire project • Do you want to learn technology from me? Check https://codebasics.io/ for my affordable video courses. • Website: http://codebasics.io/ • Facebook: / codebasicshub • Twitter: / codebasicshub

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