Handwriting Digits Recognition

Description

Handwriting Digits Recognition is a machine learning project focused on classifying handwritten digits with high accuracy.

Tech Stack

• Python

Contributions

• Implemented and optimized machine learning algorithms for handwritten digit recognition.
  • Algorithms implemented: Linear regression, Logistic regression, SVM, KNN, RBF-Network, Neural network.
• Enhanced model performance through data preprocessing and feature extraction and handled data overfitting.
• Improved feature representation and prediction reliability, achieving high classification accuracy.