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Awesome Data Science repository to learn and apply for real world
An open source Data Science repository to learn and apply towards solving real world problems. This is a shortcut path to start studying Data Science. Just follow the steps to answer the questions, "What is Data Science and what should I study to learn Data Science?" Data Science is one of the hottest topics on the Computer and Internet farmland nowadays. People have gathered data from applications and systems until today and now is the time to analyze them. The next steps are producing...
...Intellect Modeling Kit (IMK) is intended to build knowledge machines (KM) assisting experts on the steps of activity:
* Observation;
* Producing propositions based on knowledge;
* Elimination of impossible propositions;
* Selection and verification of the most appropriate propositions;
* Memorizing - new knowledge item creation;
* Abstraction – building objects representing typical signs of similar objects groups, datamining.
KM is not intended to replace human experts, it is built to multiply abilities. Machine should not be responsible for decisions.
The IMK is designed to create ready-to-use software applications using simple text files. Any human knowledge can be uploaded to KM by expert not familiar with software coding. Demos present in kit. ...
That project aims at providing a clean API, and the corresponding C++ implementation, for choosing one item among a set of travel solutions, given demand-related characteristics (e.g., Willingness-To-Pay, preferred airline, preferred cabin, etc.).
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...Main features
- learn (cards due to learn), swat (every card)
- copy cards
- filter
- sort
- synchronize between devices
- share cards with other users (just use all and/or improve and add cards)
Programm code and usage follows the KISS principle, see http://en.wikipedia.org/wiki/KISS_principle
- basic requirement = browser
- OS independent
- no installation required
- no fancy features
- bullet proof synchonization and sharing
- deployment is just copying files onto a PHP enabled webserver
More
- data is on your own server
- no central registration or datamining
Technical Details
- logic in JavaScript (browser)
- Share/synch by PHP scripts on webserver (file based)
Excel to Arff converter. You can easily convert the excel datas will be used datamining process to arff file format and then easily analyze your datas and results using WEKA DataMining Utility.
Facilitates datamining/natural language processing experiments to be executed on weblogs, such as classification, clustering and rating. As part of these experiments, it is possible to apply Latent Semantic Analysis.
KNN-WEKA provides a implementation of the K-nearest neighbour algorithm for Weka. Weka is a collection of machine learning algorithms for datamining tasks. For more information on Weka, see http://www.cs.waikato.ac.nz/ml/weka/.
txtkit is a visual text mining tool for exploring large amounts of multilingual texts. It's an multiuser-application which mainly focuses on the process of reading and reasoning as series of decisions and events.