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
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.
SOM - Self-organizing map
Cluster analysis - using different approaches
A Simple k-nearest neighbors implementation in C++
The "IRIS Flower Classification" GitHub repository is a project dedicated to classifying iris flowers based on their attributes.
Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Programming and Scripting (COMP08049)
Iris flower classification using KNN and Random forest algorithm
Veronica is a 😎 ML Based Web-App.
Iris data set analysis for Udacity.
to satisfy requirements for a data-science-focused build applying algorithm portion of CS curriculum
computer program that trains a series of perceptrons, based on PLA, to classify iris data
Add a description, image, and links to the iris-data topic page so that developers can more easily learn about it.
To associate your repository with the iris-data topic, visit your repo's landing page and select "manage topics."