Handwritten Digit Recognition using Python
🔍 Project Overview:
Developed a machine learning model to recognize handwritten digits with high accuracy.
Utilized the MNIST dataset, which contains 60,000 training images and 10,000 test images of handwritten digits (0-9).
🔧 Technologies Used:
Programming Language: Python
Libraries: NumPy, Pandas, Matplotlib
Tools: Jupyter Notebook for development and visualization