Project
Machine Learning Prediction
Python based Machine Learning technique used to identify handwritten or printed digits.
Overview
A neural network learns patterns from thousands of example images during training. Convolutional Neural Networks (CNNs) are commonly used because they are very effective for image processing tasks. The model extracts features like edges, shapes, and curves to recognize each number correctly. This technology is widely used in applications like bank cheque reading, postal code detection, and digit-based OCR systems.
Key Features
- High Accuracy
- Image Processing Capability
- Pattern Recognition
- Probability-Based Output
Technologies Used
PythonScikit-LearnPandas
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