XLMiner v12.5 Professional Edition cracked version download

                                     XLMiner v12.5 Professional Edition






            This is the full cracked version of the software. Download, extract, install, enjoy.
   Inside the archive there is "crack" folder wich contains everything you need to crack the software.
                                                Download link:
                                     https://safelinking.net/p/d0e99f6365



XLMiner is the only comprehensive data mining add-in for Excel, with neural nets, classification and regression trees, logistic regression, linear regression, Bayes classifier, K-nearest neighbors, discriminant analysis, association rules, clustering, principal components, and more.

XLMiner provides everything you need to sample data from many sources -- PowerPivot, Microsoft/IBM/Oracle databases, or spreadsheets; explore and visualize your data with multiple linked charts; preprocess and 'clean' your data, fit data mining models, and evaluate your models' predictive power.
Advanced Data Mining, The Ease of Excel, and Competitive Pricing

Comprehensive set of data preparation features to import and clean your data including:

    Sample data from virtually any database, including Microsoft's PowerPivot in-memory database handling 100 million rows or more
    Clean your data with a comprehensive set of data handling utilities including categorizing data and handling missing values
    Partition your data into training, validation, and test datasets

Powerful tools for analysis and prediction including:

    Use visualization aids from simple bar, line and histogram charts to multiple linked charts, one-click changes to axes, colors and panels, zooming, brushing and more
    Use a range of supervised and unsupervised learning techniques for continuous and categorical data
    Use both classical methods like MLR and logistic regression, and data mining methods like CART and neural networks, and compare their predictive power

Built in time series analysis tools including:

    Analyze time series data using ACF/PACF plots and smoothing techniques
    Fit a range of models including exponential smoothing, ARIMA, and standard and seasonal models
    Easily use each model to forecast future values