Keras is a toolkit for Neural Network development and acts as a high level API to make it easier to ...
A family of unsupervised learning techniques that group items together into n clusters, or groups ba...
A body of writing, documents, or text used to train a supervised learning model. The text is tokeni...
Machine learning using labeled data, predicting targets based off of previous examples....
A classifier based on Baye's theorem, assumes full independence between features. Only accepts and ...
TF-IDF is a way of vectorizing the contents of a corpus. The TF stands for term frequency, which is...
One of the simplest statistical machine learning methods, linear regression is commonly taught to gr...