Six machine learning models for predicting bladder cancer progression using Caret package

shiny app

Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.

Building Spam Email Classifier using NNET. Please read README.md for more info. Thanks

Modelling Experts Behaviour in Q&A Communities to Predict Worthy Discussion

Sample implementations of neural networks that solve the XOR problem from scratch in different languages

Kaggle Fraudes

hyperspectral image recgnition

Deep Neural Networks from scratch

a neural network written from scratch and accelerated with cuda

MathSuccess - it is a dataset of 2600 rows containing student info and if they passed a highly competitive Math Class. I used 5 models to compare its accuracy in R-Studio. Models Used : ctree, rpart, svm, randomForest, nnet

Using classification algorithms to predict the geographical origin of an individual.

The repository for all the data science projects I am doing

The trial about construction ML model by R and memo. Rによる機械学習モデルの構築についての試行とメモ.