Implementation questions about machine learning algorithms.
I have a few thousand audio files and I want to classify them using Keras and Theano. So far, I …
python audio machine-learning theano kerasIn every book and example always they show only binary classification (two classes) and new vector can belong to any …
machine-learning svm libsvmIn this video from Sebastian Thrum he says that supervised learning works with "labeled" data and unsupervised learning works with "…
machine-learningI have been working with the CountVectorizer class in scikit-learn. I understand that if used in the manner shown below, …
python machine-learning scikit-learn tf-idfIs it possible to specify your own distance function using scikit-learn K-Means Clustering?
python machine-learning cluster-analysis k-means scikit-learnI am training on 970 samples and validating on 243 samples. How big should batch size and number of epochs be when …
python machine-learning keras data-scienceI recently studied about supervised learning and unsupervised learning. From theory, I know that supervised means getting the information from …
machine-learning deep-learning data-mining supervised-learning unsupervised-learningI can't figure out how the sklearn.pipeline.Pipeline works exactly. There are a few explanation in the doc. For …
python machine-learning scikit-learnCan anyone please clearly explain the difference between 1D, 2D, and 3D convolutions in convolutional neural networks (in deep learning) …
machine-learning deep-learning signal-processing conv-neural-network convolutionTrying to plot the decision Boundary of the k-NN Classifier but is unable to do so getting TypeError: '(slice(…
python machine-learning knn