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"
AŞAĞIDA BULUNAN KÜTÜPHANELERİ YORUM SATIRI OLMAKTAN ÇIKARIP
TEK SEFERDE YÜKLEYEBİLİRSİNİZ. UZUN SÜRECEKTİR AMA İLK KURULUMDA
YÜKLENMESİNDE FAYDA OLAN, İŞLERİ KOLAYLAŞTIRAN KÜTÜPHANELERDİR.
HEMEN ALTINDA KÜTÜPHANELER YÜKLENEREK DENEMESİ YAPILABİLİR.
HATA ALINMASI DURUMUNDA HATA MESAJINDAKİ BİLGİLERE BAKARAK
SİSTEMDE EKSİK PAKETLER VARSA KURULMALIDIR.
"
# install.packages("ggplot2") # görselleştirme kütüphanesi
# install.packages(ggpubr)
# install.packages("tidyverse")
# install.packages("mclust") # mclust kümeleme algoritması - büyük veri setlerinde kümeleme
# install.packages("dplyr")
# install.packages("ISLR")
# install.packages("pls")#kismi en kucuk kareler ve pcr icin
# install.packages("PerformanceAnalytics")
# install.packages("funModeling")
# install.packages("caret")
# install.packages("pROC")
# install.packages("class")
# install.packages("e1071")#knn-svm gibi algoritmalar icin
# install.packages("kernlab") #svm için
# install.packages("ROCR") #roc için (roc curve gibi)
# install.packages("neuralnet")
# install.packages("GGally")
# install.packages("nnet")
# install.packages("rpart") #ağaç algoritmaları vb.
# install.packages("rpart.plot")#rpart gorsel icin
# install.packages(partykit) #karar agaci gorseli icin
# install.packages("cli")
# install.packages("tree")
# install.packages("randomForest")
# install.packages("gbm")
# install.packages("xgboost")
# install.packages("DiagrammeR")
# install.packages("mlbench")
# install.packages("broom") #tidy model icin
# install.packages("elasticnet")
# install.packages("glmnet")
# install.packages("MASS")
# install.packages("Matrix")
# install.packages("pgmm") #olive data seti icin
# install.packages("dslabs")
# install.packages("ipred") #bagging icin
# install.packages("NeuralNetTools") #garson fonksiyonu icin
# install.packages("FNN")
# install.packages("AppliedPredictiveModeling")
library(ggplot2)
library(mclust)
library(dplyr)
library(pls)
library(PerformanceAnalytics)
library(ISLR)
library(tidyverse)
library(funModeling)
library(caret)
library(pROC)
library(class)
library(e1071)
library(kernlab)
library(ROCR)
library(neuralnet)
library(GGally)
library(nnet)
library(rpart)
library(cli)
library(tree)
library(rpart.plot)
library(gbm)
library(xgboost)
library(DiagrammeR)
library(mlbench)
library(AppliedPredictiveModeling)
library(elasticnet)
library(broom)
library(glmnet)
library(MASS)
library(Matrix)
library(pgmm)
library(dslabs)
library(partykit)
library(ipred)
library(randomForest)
library(NeuralNetTools)
library(FNN)
library(ggpubr)