Tutorials

Welcome to Neural Market Trend’s “Tutorials” lesson page. Here you can learn how to build predictive trend model using neural nets and artificial intelligence (AI), use Genetic Algorithms, and build analytic trend systems in Excel. Be sure to visit my entire set of lessons by selecting the tutorial category!

Rapidminer Sample Processes

Rapidminer 5.0 Video Tutorials

 

 

 

Rapidminer 4.0 Video Tutorials (see above for new video tutorials)

 

Build a basic Neural Classification Model (YALE/RapidMiner)

Build a basic prediction model (YALE/RapidMiner)

Genetic and Evolutionary Modeling

Excel Models

Data Mining Your Blog

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  • MONISH

    Hi Thomas

    When will you post the remaining lecture video for RapidMiner Video Tutorials.
    Looking forward for it.

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  • http://www.dataminingtools.net datakid1

    Thanks. That was very useful.
    you might be interested to take a look at the collection of tutorials and videos on RAPIDMINER.
    Tutorials:http://www.dataminingtools.net/browsetutorials.php?tag=rapidminer
    Videos:http://www.dataminingtools.net/videos.php?id=10

  • Quan

    Thank you very much. I am newbie in datamining and I have never been able to do any work till I get these video tutorial on rapidminer 5. Now, I can use it for my research. Your tutorial is really great and helpfull.

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  • http://www.mnnit.ac.in/departments/csed/rose.pdf Rozita Jamili

    Hi Tom,
    Thanks alot for very nice videos. i watch all of 10 video of rapidminer 5, my problem is working with logfiles and making my favorite pre-processing or analyzing in terms on sessions , is it any facility in rapid miner related to my goal that can help me?
    Thanks alot for your answer

  • wumo

    Hi Tom,
    A zillion thanks for introducing rapidminer. I would have never thought about using those I learned years ago for trading, even though I use weka at work.

    My small question: Is it possible to draw chart within rapidminer?

  • Marvin

    Has anyone seen a case where the operator won’t slide into the process window? I’m trying to use the forecasting performance operator but it won’t drag or insert by right clicking. An error stating “operator can not be constructed ….. set horizon(I)V” Any ideas?

  • Rita

    Hi Thomas,
    Where can I download your original written tutorial you mention in your videos?

  • http://www.neuralmarkettrends.com Thomas Ott

    See this page for links to the written YALE/Rapidmner tutorials blog posts. The original ones were in written form but are very outdated now because RM has gone under heavy changes.

  • Sukhoi47

    Hi guy. Your video-tutorials are excellent. I downloaded those about rapidminer to keep as reference.
    I am trying to use it to predict stock market too. Good job!

  • http://www.neuralmarkettrends.com Thomas Ott

    Thanks! Good luck!

  • Hamid

    These videos are very interesting and useful.
    Thank’s Thomas, keep going.

  • http://www.neuralmarkettrends.com Tom

    Thanks, I’ll try.

  • http://pps.udinus irfan

    thanks a lot mr. thomas ,.. Your tutorial is really great and helpfull.

  • Vaishak

    Hello Thomas,
    Your tutorials are really wonderful. I tried using them and they were really helpful.
    I have a small problem at the moment for which I am seeking solution. Any help would be appreciated.
    1) Which would be the best algorithm/operator in rapid miner that could help predict 5 outputs from a set of inputs.
    I have tried using neural nets but id doesnt give me an accuracy as expected. Now I am playing with evolutionary algorithms to help select best inputs for my neural network.
    2) My inputs are not numbers. They are mainly character data type. How can evolutionary algorithm be used to weigh these type of inputs based on a status attribute (which unlike the gold status in your example has 5 values namely active, terminated, withdraw, pause, dropout)
    Regards

  • http://www.neuralmarkettrends.com Tom

    @Vaishak: I don’t know enough about your data to make a definitive answer but I suggest you check out using a SVM operator. However, you’d have to transform your inputs to numerical attributes, easy to do with the Nominal to Numerical operator, and make sure your outputs are also numerical labels. Make sure you use a Radial kernel when using the SVM operator.

  • Awatif

    Hi Tom,
    Thank you again and again, I am still using this tutorials as rerence every time I work on Data Mining, I just want to ask you to provide some tutorials using clustering and segmentation if possible, thank you again for your time and effort

  • http://www.neuralmarkettrends.com Tom

    @Awatif: I’d love too but I have no time right now. I’m overloaded with work.

  • Vaishak

    Dear Mr Tom,
    Once again thank you for that wonderful video #13 on parameter optimization using Neural Nets. It was really helpful.
    I tried the same using SVM but I guess I have some memory issues.
    Iam new to SVM and its parameters seem to make no sense. Though I changed a few of them like C, gamma, Kernal types refering your previous videos, it would have been good to know
    1) What these parameters are
    2) How each could infuluence the inputs.

    I went through some research materials but I guess I am finding it hard to understand them. Is there any advice or help you could offer.
    Regards
    Vaishak

  • Minkoo Seo

    Thank you so much for this nice videos. I’m learning a lot from your tutorial. Cheer up!