In this project, you’ll assume the role of a machine learning engineer tasked with building an image classifier to recognize handwritten digits. You’ll explore the challenges of image classification and compare different models, including neural networks, to improve handwriting recognition accuracy.
Throughout the project, you’ll gain hands-on experience with essential deep learning concepts and techniques. You’ll preprocess image data, train and evaluate various classification models, and iterate to enhance performance. By applying your skills in Python and machine learning libraries, you’ll develop a practical understanding of building effective image classifiers.
Objective: Use Python and deep learning to build an image classifier that accurately recognizes handwritten digits, gaining valuable experience in applying neural networks to real-world problems.
Learn exactly what you need to achieve your goal. Don’t waste time on unrelated lessons.
Build confidence with our in-depth projects, and show off your data skills.
Work with real data from day one with interactive lessons and hands-on exercises.
Share the evidence of your hard work with your network and potential employers.
Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.
We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.
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