Speculation with the use of RapidMiner and WEKA on the same facts

Prediction with RapidMiner and WEKA on the same data

This movie shows how to use RapidMiner or WEKA for prediction. It is also showen, how the binning is done. The used dataset could be found on: https://catalog.data.gov/dataset/allegheny-county-property-sale-transactions
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WEKA API several/19: Having Analysis (Division)

To access the code go to the Machine Learning Tutorials Section on the Tutorials page here: http://www.brunel.ac.uk/~csstnns

Using WEKA in java

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Digital Signal Processing (DSP) refers to the process whereby real-world phenomena can be translated into digital data for analysis, manipulation, and synthesis. DSP has transformed the way we interact with the physical world when it comes to recording sound, taking pictures, or analyzing other natural phenomena. None of this would be possible without the Fast Fourier Transform (FFT) algorithm, which allows huge amounts of data sampled in the time domain to be quickly transformed into the frequency domain. In this Digital Signal Processing Tutorial, we discuss implementations of the FFT in JavaScript and how we as developers can leverage JavaScript libraries such as DSP.js for signal analysis, synthesis, and manipulation.

Watch this video to learn:

– What is Digital Signal Processing (DSP)
– What is the Fast Fourier Transform (FFT) algorithm
– How does DSP work
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Moment in time Assortment Data Harvesting In preparation with Weka

I am sorry for my poor english. I hope it helps you. when i take the data mining course, i had searched it but i couldnt. So i decided to share this video with you.
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Time Series Forecasting Theory | AR, MA, ARMA, ARIMA | Data Science

In this video you will learn the theory of Time Series Forecasting. You will what is univariate time series analysis, AR, MA, ARMA & ARIMA modelling and how to use these models to do forecast. This will also help you learn ARCH, Garch, ECM Model & Panel data models.

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Logistic Regression in R: https://goo.gl/S7DkRy

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Time ARIMA Model in R : https://goo.gl/UcPNWx

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