A training set is a set of data used to discover potentially predictive relationships, used in fields like artificial intelligence, machine learning, and statistics.
I am trying to use train_test_split from package scikit Learn, but I am having trouble with parameter stratify. …
split scikit-learn training-data test-dataI am looking for some relatively simple data sets for testing and comparing different training methods for artificial neural networks. …
neural-network training-dataI'm new to machine learning, and for my first project I'd like to write a naive Bayes spam filter. I …
machine-learning spam-prevention training-dataI'm using R to do machine learning. Following standard machine learning methodology, I would like to randomly split my data …
r machine-learning training-dataMy question is simple, what is the validation data passed to model.fit in a Sequential model used for? And, …
python validation keras training-data keras-2Where can I get a corpus of documents that have already been classified as positive/negative for sentiment in the …
nlp machine-learning text-analysis sentiment-analysis training-dataI have a project, which I want to detect objects in the images; my aim is to use HOG features. …
c++ opencv svm object-recognition training-dataLet's say I've read in a textfile using a TextLineReader. Is there some way to split this into train and …
tensorflow cross-validation training-dataI want to separate my data into train and test set, should I apply normalization over data before or after …
machine-learning data-science normalization training-data train-test-splitI check on google but didnt find any good free video tutorial for anjular js this web looking fine (http://…
angularjs training-data