This project applies deep learning techniques to predict wine quality based on various features in wine datasets. It includes data preprocessing, model building, training, and evaluation steps, ...

Discover 1-minute Python hacks to automate tasks, clean data, and perform advanced analytics in Excel. Boost productivity effortlessly in day ...

Clustering is widely used for data analysis that partitions a set of data into multiple clusters, where objects in the same cluster have similar properties. Data for clustering analysis often comes ...

Anomaly detection is a problem of finding unexpected patterns in a dataset. Unexpected patterns can be defined as those that do not conform to the general behavior of the dataset. Anomaly detection is ...

Commands are grouped as follows: setup: Pipeline setup and corpus I/O (for example: downloading and indexing a local copy of the collection). analyze: Analysis of the data present in the collection.