Search Results for "python data analysis" - Page 3

Download Free Associated R open source script files for big data analysis with Hadoop and R These are R script source file from Ram Venkat from a past Meetup we did at http://www.meetup.com/R-Matlab-Users/events/85160532/ Also, there is a long video and Powerpoint presentation slide PDF with R files at: http://quantlabs.net/blog/2012/11/how-to-use-hadoop-and-r-for-big-data-parallel-processing-free-download-pdf/ Download source files from http://quantlabs.net/blog/2012/11/download-free...

Cascading and Sharing Survival Trees (CSST) is a tree-based enseble that allows to efficiently analize survival data. It is a strightforward extension of the CS4 method for lifetime collections of data. The CSST software comes along with its companion the CSST Prediction tool, to use the ensemble prediction in everyday life. Please, refer to the user's manual for further information.

Selection Sort, Quick Sort, Merge Sort, etc Data analysis and efficiency.

This application implement an approach for doing keyword based search over semi-structured data available in HTML pages.

Open Metaheuristic (oMetah) is a library aimed at the conception and the rigourous testing of metaheuristics (i.e. genetic algorithms, simulated annealing, ...). The code design is separated in components : algorithms, problems and a test report generator

Modules for developing, configuring and running a computation based on function blocks entirely in Python. Function block based computation is a data, event and state driven approach to data processing.

ngram is a module to compute the similarity between two strings. It is different to python's "difflib.SequenceMatcher" in that it cares more about the size of both strings. ngram is an port and extension of the perl module called "String::Trigram

Regexp testing tool allows to apply group of regexps to huge arrays of data (millions or so) in order to investigate search or search/replacement possibilities of regexp group.

An R package for detailed inspection and analysis of LCMS data. An R package developed by Sukhdeep Singh at Department of Surgery and Cancer, Imperial College London,UK.

Ertha is an open source GIS whose main focus is to guarantee easy extensibility and straightforward integration of custom modules. It provides basic geographic rendering and topologic analysis and exposes the main data structures loaded from shapefiles.

A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.

This program generates customizable hyper-surfaces (multi-dimensional input and output) and samples data from them to be used further as benchmark for response surface modeling tasks or optimization algorithms.

Fast cython implementation of trie data structure for Python. Development is inactive, but moved to: http://github.com/martinkozak/cytrie.

An implementation of "k-Way Merging" as described in "Fundamentals of Data Structures" by Horowitz/Sahni. NOTE: This project has been moved to http://code.google.com/p/kway/

The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.

The Vodoo/Stream project let users to define transducers dedicated to document analysis. Such transducers describe how fragments are matched and transformed. Finally a document can be an XML fragment, a free text or something else depending on extensions

Open Screening Environment is a open source system for management of High Throughput Screening related experiments. The platform consists of new research tools that will enhance significantly management and analysis of HTS data. More information can be f

Genetic Programming (tree structure) predictor within Weka data mining software for both continuous and classification problems.

Openminer, as a data mining engine, is developed on java for analysis of dataset with the methods of data mining. By making use of openminer, we could discovery the knowledge which interests us but hides in the raw data.

Random Projection Trees is a recursive space partitioning datastructure which can automatically adapt to the underlying (linear or non-linear) structure in data. It has strong theoretical guarantees on rates of convergence and works well in practice.

callgraph is a project that provides an algorithm for an optimal vertex positioning of any connected graph in 3D, as well as the library and sample application for viewing graphs in 3D.

PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.

Machine learning toolkit for unsupervised and semi-supervised clustering that demonstrates excellent results on real-world data (see Bekkerman et al. ICML-2005 and ECML-2006).

Design and develop Recommendation and Adaptive Prediction Engines to address eCommerce opportunities. Build a portfolio of engines by creating and porting algorithms from multiple disciplines to a usable form. Try to solve NetFlix and other challenges.

Automated computer program grading solutions designed for trainings on computer languages, data structures and algorithms. See http://openjudge.net for details.