Day 3 of 10 — I taught Python to read handwriting. It’s better at it than most people. ✍️ 97.2% accuracy on 1,797 handwritten digit images. Each image is just 8×8 pixels — 64 numbers — and the model still nails it. What’s wild is where this technology actually lives: → ATMs reading your cheque amounts → India Post sorting millions of parcels by PIN code → Banks processing physical form data automatically And you can build the foundation of all of that in 15 lines of Python. 7 days remaining. Tomorrow: would you have survived the Titanic? Comment ‘DIGITS’ for the full handwriting recognizer in your DMs #MachineLearning #Python #HandwritingRecognition #RandomForest #MNIST ImageClassification sklearn DataScience MLBeginner ComputerVision PythonProjects 100DaysOfCode MLDay3 10DayChallenge aartiipy AIProjects PythonTutorial DataScienceIndia DigitRecognition DeepLearningBasics handwritten digit recognition Python sklearn RandomForestClassifier MNIST sklearn imag...