An "End-to-End Machine Learning" project focuses on building a machine learning pipeline that prevents data leakage and deploys the model with microservice-architecture for real-world use.

Learning with spiking neural networks using STDP synapses. Python, PyNN, NEST-simulator, numpy

Automated download of the most recent Fnet data and the IRIS data

SOM - Self-organizing map

The "IRIS Flower Classification" GitHub repository is a project dedicated to classifying iris flowers based on their attributes.

A Simple k-nearest neighbors implementation in C++

Cluster analysis - using different approaches

to satisfy requirements for a data-science-focused build applying algorithm portion of CS curriculum

Veronica is a 😎 ML Based Web-App.

Iris flower classification using KNN and Random forest algorithm

Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Programming and Scripting (COMP08049)

Iris data set analysis for Udacity.

computer program that trains a series of perceptrons, based on PLA, to classify iris data

🌸 Compare multiple classification models on the Iris dataset to evaluate accuracy, precision, recall, and F1-score with clear visualizations.