Report v1.0

Version v1.0 - Letter Recognition Project Report

In this release, you will find the comprehensive research report for the Letter Recognition Project. The report covers the following key aspects:

• Problem Statement and Objectives
• Methodology and Approach
• Experimental Results and Analysis
• Conclusion and Future Work

Additionally, the report discusses the application of machine learning algorithms, including Support Vector Machines (SVM), k-Nearest Neighbors (KNN), and Decision Trees, for classifying capital letters based on visual features.

For a detailed understanding of the project's goals, methods, and outcomes, please download and review the attached report.

We appreciate your interest in our project and welcome any feedback or questions you may have.

Link to Report: https://github.com/spignelon/Letter-Recognition_Project-ML/blob/main/LetterRecognition_Research_Report.pdf
Link to Project Repository: https://github.com/spignelon/Letter-Recognition_Project-ML
Link to Blog Post: https://blog.ujjawalsaini.me/letter-recognition-machine-learning-for-classifying-capital-letters
Link to the Jupyter Notebook: https://github.com/spignelon/Letter-Recognition_Project-ML/blob/9e9f98e5662e6fa435ca8ae66d689c84eb5f8aad/Letter_Recognition.ipynb