artificial-neural-networks

Here are 36 public repositories matching this topic...

primaryobjects / fashion

The Fashion-MNIST dataset and machine learning models.

data-science machine-learning r fashion svm artificial-intelligence dataset mnist supervised-learning xgboost classification image-classification artificial-neural-networks image-recognition support-vector-machines fashion-mnist

Updated Oct 24, 2017
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Rpita623 / Detecting-Credit-Card-Fraud

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Using R and machine learning to build a classifier that can detect credit card fraudulent transactions.

Updated Nov 4, 2021
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MichaelAlexanderBryant / an-introduction-to-statistical-learning-2e-code

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Solutions and code examples from An Introduction to Statistical Learning (Second Edition) by James, Witten, Hastie, and Tibshirani.

machine-learning statistics statistical-learning artificial-neural-networks survival-analysis hypothesis-testing

Updated Apr 12, 2022
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Statistics-and-Machine-Learning-with-R / Statistical-Methods-and-Machine-Learning-in-R

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This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

machine-learning statistics rstudio t-test supervised-learning pca artificial-neural-networks decision-tree pcoa mann-whitney unsupervised-machine-learning data-evaluation anova-test anosim-test u-test

Updated May 4, 2023
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noemimejia / beatingthemarket

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sentiment-analysis random-forest stock-price-prediction artificial-neural-networks support-vector-machine technical-analysis support-vector-machines artificial-neural-network backpropagation stock-prediction stock-price-forecasting fundamental-analysis support-vector-regression resilient-propagation random-forest-regression

Updated May 6, 2018
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xup6fup / MxNetR-examples

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This project provides a series of MxNetR example for letting readers to get started quickly.

r deep-learning neural-network mxnet rstudio linear-regression iterator recurrent-neural-networks artificial-intelligence artificial-neural-networks logistic-regression convolutional-neural-networks softmax-regression

Updated Nov 5, 2017
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toukirnaim08 / Rainfall-Prediction-Australian-Weather-Dataset

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Rainfall prediction from Australian weather dataset using multiple machine learning models.

clustering data-visualization feature-selection artificial-neural-networks logistic-regression support-vector-machine performance-analysis data-preprocessing data-cleaning

Updated Jun 19, 2021
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AkalyaAsokan / Fuzzy-Clustering-and-Artificial-Neural-Network

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Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization (A Research Paper Implementation along with Self-organization feature map (SOFM) implementation)

machine-learning clustering artificial-neural-networks fuzzy-logic particle-swarm-optimization sofm cmeans

Updated Aug 14, 2020
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zhiming97 / Predicting-Satisfaction-Of-Airline-Customers

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Using machine learning algorithms like support vector machines, artificial neural networks and random forest to predict airline customers satisfaction

random-forest artificial-neural-networks support-vector-machines rprogramming

Updated Jan 11, 2023
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dshah98 / Machine_Learning_with_R

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Full machine learning practical with R.

natural-language-processing linear-regression artificial-neural-networks logistic-regression support-vector-machine polynomial-regression convolutional-neural-network naive-bayes-classification apriori-algorithm hierarchical-clustering knn-classification support-vector-regression decision-tree-regression k-means-clustering kernel-svm random-forest-regression multiple-linear-regression decision-tree-classification random-forest-classification eclat-algorithm

Updated May 23, 2021
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kmreese-io / Reese_2021-JAS

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This article introduces artificial neural networks as a computational tool to utilize legacy archaeological data for precisely and accurately estimating dates of residential site occupation. The implementation of this deep learning algorithm can provide high-resolution demographic reconstructions of a study area from non-collection, non-invasive…

machine-learning deep-learning dating artificial-neural-networks demography mesa-verde us-southwest

Updated Aug 1, 2021
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kleinomicslab / mrbin

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Functions for processing and analyzing metabolomics data

feature-extraction nmr artificial-neural-networks metabolomics

Updated Mar 14, 2023
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theNathanLin / election2016

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2016 General Election, A Geographic and Demographic Analysis - Using Data Visualization and Machine Learning in R to study and model 2012 and 2016 general election voting patterns

machine-learning r trump study analysis data-visualization election artificial-neural-networks 2016 clinton demographic-analysis

Updated Jul 9, 2017
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oordenesg / deep_learning_research_project

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Research Project in the area of Deep Learning applied to credit risk. This model achieved better results compared to other published papers. This project is focused on the Fintech industry.

machine-learning deep-neural-networks deep-learning tensorflow rstudio artificial-neural-networks keras-tensorflow long-short-term-memory credit-risk