Learning with spiking neural networks using STDP synapses. Python, PyNN, NEST-simulator, numpy
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Updated
Aug 25, 2020 - Python
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
The "IRIS Flower Classification" GitHub repository is a project dedicated to classifying iris flowers based on their attributes.
SOM - Self-organizing map
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.
Cluster analysis - using different approaches
A Simple k-nearest neighbors implementation in C++
to satisfy requirements for a data-science-focused build applying algorithm portion of CS curriculum
Iris flower classification using KNN and Random forest algorithm
Iris data set analysis for Udacity.
Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Programming and Scripting (COMP08049)
Veronica is a 😎 ML Based Web-App.
computer program that trains a series of perceptrons, based on PLA, to classify iris data
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