A perceptron written in COBOL
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Updated
Sep 4, 2020 - COBOL
A perceptron written in COBOL
15+ Machine/Deep Learning Projects in Ipython Notebooks
Iris landmarks localization
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
Collection of iris classifcation program for teaching purpose
Gauss Naive Bayes in Python From Scratch.
Implementing PCA from Scratch for iris dataset
Using Naive Bayes classification approach to identify the different species of Iris flowers.
The original lightweight introduction to machine learning in Rubix ML using the famous Iris dataset and the K Nearest Neighbors classifier.
Service for machine learning model prediction in Flask, celery
This project is for the Identification of Iris flower species is presented
A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio
KMeans Clustering for IRIS Dataset Classification
A program that allows you to translate neural networks created with Keras to fuzzy logic programs, in order to tune these networks from a given dataset.
Implementation of multiclass version of SEFR linear-time fast classifier (TinyML)
Any data but iris
This repository contains a gentle introduction to machine learning algorithms with hands on practical examples
Perceptron Multicapa (MLP) clasificación - Multilayer Perceptron (MLP) for multi-class classification
Application of principal component analysis capturing non-linearity in the data using kernel approach
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