Six machine learning models for predicting bladder cancer progression using Caret package
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Updated
Aug 20, 2019 - R
Six machine learning models for predicting bladder cancer progression using Caret package
Building Spam Email Classifier using NNET. Please read README.md for more info. Thanks
Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.
Sample implementations of neural networks that solve the XOR problem from scratch in different languages
Deep Neural Networks from scratch
Using classification algorithms to predict the geographical origin of an individual.
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
The repository for all the data science projects I am doing
a neural network written from scratch and accelerated with cuda
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