Actionable Data Science
Actionable Data Science
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K-Means Clustering with Rapidminer.
In this video, I show you how to apply k-Means Clustering with Rapidminer.
Переглядів: 9 710

Відео

DBSCAN Clustering with Rapidminer
Переглядів 4,7 тис.3 роки тому
In this video, I show you how to apply DBSCAN Clustering with Rapidminer.
Polynomial Regression with Rapidminer
Переглядів 2,7 тис.3 роки тому
In this video, I show you how to apply Polynomial Regression with Rapidminer.
Dealing with class imbalance by downsampling with Rapidminer
Переглядів 3,4 тис.3 роки тому
There are many ways to deal with class imbalance. In this video, I show you how to down-sample the majority class in your data to achieve a balanced dataset with Rapidminer.
Naive Bayes with Rapidminer
Переглядів 7 тис.3 роки тому
In this video, I show you how to apply Naive Bayes; a probabilistic classifier, with Rapidminer.
K-Nearest Neighbors (KNN) with Rapidminer
Переглядів 8 тис.3 роки тому
In this video, I show you how to apply K-Nearest Neighbors (KNN) classification algorithm with Rapidminer.
Logistic Regression with Rapidminer
Переглядів 6 тис.3 роки тому
In this video, I show how to apply Logistic Regression with Rapidminer.
Linear regression with Rapidminer
Переглядів 6 тис.3 роки тому
In this video, I show how to apply Linear Regression with Rapidminer.
Cost Performance Analysis with Rapidminer
Переглядів 1,2 тис.3 роки тому
All classification models make mistakes. However, not all mistakes cost the same. Cost Performance Analysis allows you to assign costs for each type of error made by classifiers, and therefore, calculate an overall cost of using a particular classification model. In this video, I show you how to apply Cost Performance Analysis with Rapidminer.
Decision Trees with Rapidminer
Переглядів 10 тис.3 роки тому
In this video, I show how to apply Decision Trees with Rapidminer. Additionally, the video also covers how to check the Information Gain for different data attributes.
Removing correlating attributes with Rapidminer
Переглядів 1,3 тис.3 роки тому
In this video, I show how a particular way of dimensionality reduction can be applied with Rapidminer; removing correlating attributes.
Discretization with Rapidminer
Переглядів 2,4 тис.3 роки тому
In this video, I simply show how to apply discretization by binning with Rapidminer.
Feature scaling with Rapidminer
Переглядів 1,2 тис.3 роки тому
In this video, I show how to apply two feature scaling methods with Rapidminer, namely, normalization and standardization.
Principal Component Analysis with Rapidminer
Переглядів 2,9 тис.3 роки тому
In this video, I cover one of the most common dimensionality reduction techniques; Principal Component Analysis (PCA), using Rapidminer.
Replace missing values with Rapidminer
Переглядів 7 тис.3 роки тому
In this video, I show how to replace missing values with Rapidminer.
Remove missing values with Rapidminer
Переглядів 10 тис.3 роки тому
Remove missing values with Rapidminer

КОМЕНТАРІ

  • @Alternatywny_1
    @Alternatywny_1 3 місяці тому

    Thank you for this film, it helped me pass my course at university. Wishing you all the best!

  • @crashingatom6755
    @crashingatom6755 5 місяців тому

    These videos are so good! I'm sad that I missed the time when this channel was active. It's crazy that tons of the videos have 10K plus views, and only 661 subs. Ridiculous. Thanks though, these are immensely helpful!

  • @user-gf9uw5yw1e
    @user-gf9uw5yw1e 8 місяців тому

    2 years later and You are still helping Data Analyst Students. God Bless your soul

  • @muratlothbrok6251
    @muratlothbrok6251 9 місяців тому

    iya abe sağ olasın

  • @domingopedernera1038
    @domingopedernera1038 Рік тому

    hi Deniz, many thanks for the clear explanations!

  • @madjohnshaft
    @madjohnshaft Рік тому

    Where can I find your CSV files?

  • @lilrex2015
    @lilrex2015 Рік тому

    How do you turn these results into a linear equation?

    • @dwimaulidaSari
      @dwimaulidaSari 8 місяців тому

      Do you get the way to make the regression equation??

  • @albandarialshaye9231
    @albandarialshaye9231 Рік тому

    can i have the link for the dataset

  • @d1kt0ll68
    @d1kt0ll68 Рік тому

    ntaps

  • @aqeelakmal5066
    @aqeelakmal5066 Рік тому

    SVM Algorithm how can we apply by this tool?

  • @danielalexanderreyespineda1131

    Such as Master! You are brilliant! Thank you so much, you are clear and straight on every step.

  • @BlakeC341
    @BlakeC341 Рік тому

    I always look for your videos, but you almost never do any meaningful data preparation which for many is the most confusing step that prompts the most errors that prevent running the process. Bummer.

  • @omerugural8580
    @omerugural8580 Рік тому

    tesekkurler deniz abi

  • @fthabtah9957
    @fthabtah9957 Рік тому

    can you share the Mouscomma dataset

  • @paewnapapuntusavase7202
    @paewnapapuntusavase7202 2 роки тому

    Thank you from Thailand .

  • @alpharomeo891
    @alpharomeo891 2 роки тому

    Thank You..

  • @hamidsalarmoradi9404
    @hamidsalarmoradi9404 2 роки тому

    Hi. thank you for your great video. how can i classify new data? i mean, i have a simple dataset and i have a new record of them and i want to determine class of new record. it was not in your video i guess. would you help me ?

  • @suvinshah7792
    @suvinshah7792 2 роки тому

    can we split data in this.?

  • @bakhtyarali6979
    @bakhtyarali6979 2 роки тому

    It's great. Can I Random forest by 19 criteria and one row?

  • @ThangPham-dx9lx
    @ThangPham-dx9lx 2 роки тому

    Thank you for your helpful instruction. I've been struggling with this for months. Greeting from Vietnam

  • @HiTECHin
    @HiTECHin 2 роки тому

    thx sir

  • @cannoli1363
    @cannoli1363 2 роки тому

    Very helpful

  • @omarmassoud6620
    @omarmassoud6620 2 роки тому

    This is very helpful and helped me finish my school assignment just in time few hours before the deadline, thank you very much for your help and keep the great work up

  • @chilli3672
    @chilli3672 2 роки тому

    Thank you so much I was really struggling with this one 🌹🌹🌹

  • @jennytan4928
    @jennytan4928 3 роки тому

    Hi Deniz , this is only for the binomial data type ?

  • @cmdrfr3y4
    @cmdrfr3y4 3 роки тому

    Hello! I have a fictional customer data base - is there a way to replace missing household income values depending on the average of the age group or the educational level of a customer?

  • @rabiafaisal558
    @rabiafaisal558 3 роки тому

    Thanks

  • @a.kavithasureshkumar2193
    @a.kavithasureshkumar2193 3 роки тому

    Sir All the videos are useful, it will be better understanding if you share the dataset source we can try our own. Thank you

  • @ummerabail9476
    @ummerabail9476 3 роки тому

    so accurately told every thing .. exactly what to be told

  • @merinshibu7108
    @merinshibu7108 3 роки тому

    Thank you!

  • @bernsbuenaobra3665
    @bernsbuenaobra3665 3 роки тому

    Hmm I'm a long time LabVIEW programmer at the Physics Lab at the university and while a Test and Systems Development Engineer brings back those memories now that I do a lot of data science stuff this graphical programming in Rapid Miner looks very good.

  • @praveeng3743
    @praveeng3743 3 роки тому

    How to get the dataset you are using in your videos? Possible to add dataset link in the video description?

  • @receps.8396
    @receps.8396 3 роки тому

    Hi Deniz, is there any chance to increase the performance of regression model?

    • @ActionableDataScience
      @ActionableDataScience 3 роки тому

      Most of the time, it is possible. I would first try different algorithms that are more suitable for the problem. Cleaning the labeled data can also help a lot.

  • @receps.8396
    @receps.8396 3 роки тому

    anlatım çok güzel, teşekkürler. Ancak ilk data yükleme kısmını hızlıca geçmemeniz daha iyi olur, o kısımlarda anlatılacak birtakım şeyler olabilir.

    • @ActionableDataScience
      @ActionableDataScience 3 роки тому

      Dogru. Bu videolari universitede verdigim bir dersi desteklemek icin hazirlamistim. Ileride kendi basina anlamli olacak videolar da yuklemeyi planliyorum. Tesekkur ederim.

  • @yuhancui1944
    @yuhancui1944 3 роки тому

    This is very helpful. Thank you

  • @officialhashmatsediqi1348
    @officialhashmatsediqi1348 3 роки тому

    great explanation , thank you .

  • @mdaliakbar9867
    @mdaliakbar9867 3 роки тому

    Thank for the video. Could you please cover the data processing part with Rapidminer before doing the PCA?