Machine Learning notebooks using Tensorflow

Handwriting Detection using Deep Learing with Neural Network, tensorflow, keras and jupyter notebook

Handwriting Recognition in jupyter notebook

This notebook uses Credit card transsition data to determine if the transition is valid or not

All Possible Machine Learning algorithms implementation in jupyter notebook with csv file.

This Jupyter Notebook demonstrates a TensorFlow model for recognizing handwritten digits using the MNIST dataset, focusing on model construction, training, and accuracy evaluation.

This repository focuses on handwritten digit recognition using the MNIST dataset. It includes implementations of Logistic Regression, MLP, and LeNet-5 in PyTorch, organized into folders for reports, flowcharts, scripts, and notebooks, with detailed instructions for preprocessing and training.