This repository contains two Jupyter notebooks focused on building machine learning models to classify handwritten digits from the MNIST dataset.
- file.ipynb: Introduction to machine learning models, starting with basic data handling and visualization techniques for the MNIST dataset.
- mnist97.ipynb: Advanced notebook that develops more complex models, specifically focusing on neural network implementations for higher accuracy.
- Data Visualization: Introduction to the dataset with visualizations of the handwritten digits.
- Model Building: Step-by-step creation and training of models including logistic regression and neural networks.
- Performance Evaluation: Analyzing the accuracy and efficiency of the models using various metrics.