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classification-algorithm

Here are 53 public repositories matching this topic...

gandalf1819 / Stock-Market-Sentiment-Analysis

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news articl…

machine-learning r random-forest stock-market naive-bayes-classifier news-articles classification-algorithm sentiment-scores fundamental-analysis techincal-analysis

Updated Nov 10, 2020
R

FelixTheStudent / cellpypes

Cell type pipes for R

classification-algorithm scrnaseq single-cell-rna-seq celltype-annotation

Updated Jan 27, 2024
R

kevinrue / hancock

Cell signatures, with confidence.

machine-learning classification-algorithm single-cell-rna-seq bioconductor-package

Updated Jun 1, 2020
R

drmerlot / startml

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Updated Feb 27, 2018
R

bluegreen-labs / foto

The FOTO (Fourier Transform Textural Ordination) R package.

computer-vision texture remote-sensing classification classification-algorithm

Updated Feb 19, 2024
R

TWilliamBell / kNNExample

Implementation of k-Nearest Neighbours algorithm for use on geometric morphometric data and a simulated dataset.

machine-learning tutorial machine-learning-algorithms classification knn tutorial-code classification-algorithm knn-classification knn-classifier knn-algorithm

Updated Oct 17, 2018
R

devVipin01 / Loan_Prediction_using-R-and-ML

Predict, Your Loan is approved & not. we use R and ML for prediction.

machine-learning r classification-algorithm

Updated Aug 3, 2021
R

allezalex / PredictingFireSeverity

🌳 Predicting a wildfire's severity using classification models

environment random-forest cart classification-algorithm wildfire wildfire-management

Updated Dec 19, 2021
R

shubhi126 / Predicting-who-wins-2008-Democratic-Primaries-Elections--Clinton-vs.-Obama

Imagine you are the front runner for democratic party primaries in 2008 - 1 week into elections you have won a few states(Obama) and your opponent (Hillary) is catching up. How you can use analytics to predict which of the remaining seats will you win using demographic data from states you won and lost. Can we accurately classify win or lose for…

clustering cross-validation logistic-regression kmeans binary-analysis elections predictive-modeling explanation knearest-neighbor-algorithm classification-algorithm kfold-cross-validation

Updated Feb 28, 2018
R

lpinzari / homogeneity-location-index

The objective of this work is to provide tools to be used for the classification of ordinal categorical distributions. To demonstrate how to do it, we propose an Homogeneity (HI) and Location (LI) Index to measure the concentration and central value of an ordinal categorical distribution.

Updated Sep 7, 2019
R

canagnos / smle

Streaming Maximum Likelihood Estimation

machine-learning classification online-learning streaming-data stochastic-gradient-descent classification-algorithm classifier-model

Updated Jul 29, 2017
R

economistgame / OptimClassifier

OptimClassifier — Create the Best Train for Classification Models

r models bigdata classification r-package r-programming classification-algorithm

Updated Jan 20, 2022
R

vishakha-b18 / Customer-Churn-in-Telecom

Predicting the churn of customers in a Telecom company using classification algorithms.

telecom imputation smote classification-algorithm business-analytics smote-sampling

Updated May 5, 2020
R

Sarthak-Mohapatra / Building-Algorithm-from-scratch-for-prediction-of-Average-GPU-run-time-and-classifying-the-run-type.

As part of this project, I have developed algorithms from scratch using Gradient Descent method. The first algorithm developed will be used to predict the average GPU Run Time and the second algorithm will be used to classify a GPU run process as high or low time consuming process.

gpu rstudio matrix linear-regression exploratory-data-analysis machine-learning-algorithms threshold prediction convergence classification gradient-descent regression-models classification-algorithm logistic-regression-algorithm regression-algorithms classification-model experimentations error-curves train-test-error algorithm-from-scratch

Updated Aug 4, 2020
R

vipulvs91 / LitModel

Fire Incident risk classification Data Mining project

machine-learning data-mining data-visualisation data-wrangling r-programming classification-algorithm logistic-regression-algorithm regression-analysis classification-model r-programming-projects

Updated Mar 24, 2021
R

anishsingh20 / ShinyApp-Support-Vector-Machines

machine-learning r shiny-apps support-vector-machines classification-algorithm radial-kernel

Updated Aug 6, 2017
R

absnaik810 / DataMining

Data Mining Project: Classification of the Car Evaluation Dataset.

data-mining decision-making decision-trees classification-algorithm random-forest-classifier box-plot mosaic-plots

Updated Nov 15, 2017
R

palmisol / machine-learning-algorithms

Implementation of unsupervised and supervised algorithms.

neural-networks clustering-algorithm classification-algorithm

Updated Oct 15, 2020
R

sukhadasaoji / Human-Activity-Recognition

DATA ANALYTICS FOR HUMAN ACTIVITY RECOGNITION USING SMARTPHONE SENSORS

human-activity-recognition health-data healthcare-application classification-algorithm

Updated May 8, 2018
R

amiraZakaria / Breast-Cancer-detection

machine-learning r classification-algorithm dataanalysis

Updated May 15, 2022
R

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