Simple Handwritten Character Recognition Classifier

Introduction

In this project, you will learn how to build a simple handwritten character recognition classifier using the DIGITS dataset provided by the scikit-learn library. Handwritten character recognition is a classic problem in machine learning, and this project will guide you through the process of creating a classifier that can accurately predict the digit represented in a handwritten character image.

🎯 Tasks

In this project, you will learn:

• How to load the DIGITS dataset and split it into training and testing sets
• How to create and train a Support Vector Machine (SVM) classifier on the training data
• How to implement a function to classify a single handwritten character image
• How to test the classifier with a sample handwritten character image

🏆 Achievements

After completing this project, you will be able to:

• Load and preprocess a dataset for machine learning tasks
• Create and train an SVM classifier using scikit-learn
• Implement a prediction function to classify new samples
• Understand the basics of handwritten character recognition using machine learning techniques