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馃殌 CogniCodeML v1.0 - C++ Consciousness Unleashed
Embark on a journey through the realm of machine learning with the CogniCodeML release! This version showcases the implementation of KNN, K-Means, and Neural Network algorithms, all written in C++. Dive into the MNIST Handwriting Dataset and witness the Neural Network's finesse on the Iris Dataset.
Key Features:
KNN Excellence: Leverage both Euclidean and Manhattan distances for precise KNN classification.
K-Means Optimization: Harness the power of the WCSS/Elbow method to dynamically determine the optimal K, elevating the accuracy of K-Means clustering.
Neural Network Wizardry: Explore the Neural Network's capabilities on the MNIST dataset and its seamless adaptation to the Iris dataset.
Data Handling Mastery: Benefit from the sophisticated DataHandler, streamlining data processing for training, testing, and validation.
C++ Prowess: The entire project is crafted in C++, delivering robustness and efficiency in every algorithm.
Build Automation Brilliance: Organized Makefiles make compiling and running algorithms an effortless experience.
Unleash the consciousness of C++ in machine learning with CogniCodeML v1.0!
馃専 Dive into the C++ machine learning experience! 馃専