Iris flower classification using KNN and Random forest algorithm
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Updated
Apr 12, 2024 - Jupyter Notebook
Iris flower classification using KNN and Random forest algorithm
SOM - Self-organizing map
The "IRIS Flower Classification" GitHub repository is a project dedicated to classifying iris flowers based on their attributes.
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.
Automated download of the most recent Fnet data and the IRIS data
Iris data set analysis for Udacity.
computer program that trains a series of perceptrons, based on PLA, to classify iris data
Learning with spiking neural networks using STDP synapses. Python, PyNN, NEST-simulator, numpy
to satisfy requirements for a data-science-focused build applying algorithm portion of CS curriculum
Veronica is a 😎 ML Based Web-App.
Higher Diploma in Science in Computing (Data Analytics) - Programme Module: Programming and Scripting (COMP08049)
Cluster analysis - using different approaches
A Simple k-nearest neighbors implementation in C++
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