An easy and fun project for beginners starting out with machine learning would be building an algorithm to convert handwritten documents into digital notes or files. Also known as the offline Handwritten Text Recognition (HTR) system, this algorithm can transcribe the text in scanned images into digital text. To build this algorithm, one would need Python, TensorFlow, NumPy and OpenCV. Building this algorithm would help beginners try their hands in concepts like image recognition, deep learning and neural networks. The project uses logistic regression.
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