The FOTO (Fourier Transform Textural Ordination) R package.
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Updated
Feb 19, 2024 - R
The FOTO (Fourier Transform Textural Ordination) R package.
deep learning patient classifier based on patient similarity networks
Cell type pipes for R
Exploratory project getting familiar with quadratic discriminant analysis as a classification algorithm
This project involves exploratory data analysis and predictive modeling using various statistical and machine learning techniques. In the financial domain, we analyze the Weekly dataset, containing weekly returns spanning two decades. We aim to identify patterns and trends in the data, perform logistic regression, and compare different classificati
In this project, I trained an SVM model to classify donors (By making a buy) and to answer the question "How likely would a donor donate the next time?" based on his/her Age and Income.
Data Analytics: Predicting Customer Preferences 2020
The R-package scapesClassification is designed to translate users’ mental models of seascapes, landscapes and, more generally, of geo-spaces into computer representations (classifications).
Bu uygulamada; C4.5, C5.0 ve CART algoritmalarını kullanarak sınıflandırma gerçekleştirdim.
Web App that classifies texts, with two labels suicidal and non-suicidal.
pt-BR –– Dados e scripts do R da minha monografia sobre "Mineração de Textos no Twitter: Aprendizado de Máquina para Classificação da Opinião Política dos Usuários".ㅤ ㅤㅤㅤㅤㅤㅤㅤㅤ ㅤㅤㅤㅤen-US –– Data and R scripts from my undergraduate thesis about "Data Mining in Twitter: Machine Learning for the Users' Political Opinion Classification".
OptimClassifier — Create the Best Train for Classification Models
🌳 Predicting a wildfire's severity using classification models
A set of Machine Learning classification projects using R.
It's a little knowledge base using some scripts that I faced in my professional life.
Predict, Your Loan is approved & not. we use R and ML for prediction.
1. Algoritmos de clasificación de operaciones financieras / 2. Liquidez (horquillas y profundidad) / 3. Descomposición de horquillas / 4. Modelos basados en series temporales
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