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scikit-learn is a Python module for machine learning built on top of SciPy. It is simple and efficient tools for data mining and data analysis. It supports automatic classification, clustering, model selection, pre processing and lot more.
PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. It helps to predict user behaviors.
KMyMoney is the Personal Finance Manager for KDE. It operates similar to Quicken, supports various account types, categorization of expenses, multiple currencies, online banking support via QIF, OFX and HBCI, budgeting and a rich set of reports.
HPCC is a proven and battle-tested platform for manipulating, transforming, querying and data warehousing Big Data.
It supports two type of configuration. Thor is responsible for consuming vast amounts of data, transforming, linking and indexing that data. It functions as a distributed file system with parallel processing power spread across the nodes. Roxie, the Data Delivery Engine, provides separate high-performance online query processing and data warehouse capabilities.
The S-Space Package is a collection of algorithms for building Semantic Spaces as well as a highly-scalable library for designing new distributional semantics algorithms. Distributional algorithms process text corpora and represent the semantic for words as high dimensional feature vectors.
MLlib is a Spark implementation of some common machine learning algorithms and utilities, including classification, regression, clustering, collaborative filtering, dimensionality reduction and lot more.
Personal finance manager based on double entry bookkeeping principles. Features: account tree view, transaction filtering, multiple currencies, multiple exchange rates, transaction scheduling, download of financial data (not yet implemented), +++