Machine Learning Projects: Fashion Recommender and Handwritten Digit Recognition

This repository contains two distinct machine learning projects:

1. Fashion Recommender: A recommendation system built to predict clothing item preferences using image data. It leverages deep learning techniques to recommend fashion items based on user input.

2. Handwritten Digit Recognition: A simple handwritten digit classification system built using a Convolutional Neural Network (CNN). The model is trained on the MNIST dataset to recognize digits from 0-9 in images.

Both projects demonstrate the power of machine learning in practical applications and showcase different techniques such as image classification and recommendation systems.

Requirements

• Python 3.x
• TensorFlow
• Numpy
• Matplotlib
• Pandas
• OpenCV (for image preprocessing in Handwritten Digit Recognition)
• Other dependencies (listed in requirements.txt)