DataR Labs
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Normalization & Standardization
Apart from missing or outlier treatment, Dimensionality reduction, one-hot encoding, Data Transformation is an important part of Data pre-processing stage. If done effectively, this leads to improved model performance.
There are many such techniques like - Log or power transformation, Winsorization or clipping, Unit Vector scaling, etc. Each of them have mathematical basis which makes it more popular in one area than other.
This video talks about two popular techniques of Data Transformation - Normalization & Standardization. Both of them can easily be implemented using popular tools like Python, R, etc.
For similar topics, visit - www.datarlabs.com/
Переглядів: 9 787

Відео

Parameters to create Dynamic Tableau charts (Part 1)
Переглядів 7633 роки тому
Tableau is a leading Analytics platform which helps leaders to see and understand data more efficiently. Creating Visual dashboards and generating insights is the final step in any data analysis life cycle. Any modern day Data Analyst or Data Scientist needs to be comfortable in interacting and creating these dashboards in order to be an effective story-teller. A parameter such as date, number ...
CDF and PPF in Python
Переглядів 14 тис.3 роки тому
This is a hands-on video in Python prepared by DataR Labs to understand the probability of an event occurring. The case study used to explain the concept uses the data from education institute imparting Data Science trainings. This video explains how to calculate probability of a given event under Normal data distribution using CDF function from SciPy and vice-versa using PPF function from SciP...
Recall and Precision - Evaluation Metrics for classification model
Переглядів 5363 роки тому
In this video, evaluation metrics for binary classification model has been explained. Recall and precision are better metrics to evaluate performance than accuracy when the dataset is unbalanced. The explanation has been done using an example data from credit risk modeling. For more such content on Data Science visit www.datarlabs.com.

КОМЕНТАРІ

  • @darkredrose7683
    @darkredrose7683 2 місяці тому

    Would it make sense to do a kruskal-wallis significance test for scaled indices that have been scaled 0-1 with min-max? Thank you ❤ (for microbial ecology study)

  • @mikabenson-m9o
    @mikabenson-m9o 4 місяці тому

    Hey sir thanks for simplifying these concept it was wracking my brain but once i watched the video now i understand the concept so clear.

  • @maxdonify
    @maxdonify 5 місяців тому

    Wow I am really grateful Sir…it’s very helpful

  • @freddyalyaqout6061
    @freddyalyaqout6061 10 місяців тому

    This is Great!! Thank YOU !! ^.^

  • @dilinijayasinghe8134
    @dilinijayasinghe8134 11 місяців тому

    very good explanation. Thank you very much !!! I really wanted to understand these concepts.

  • @paolotardini4874
    @paolotardini4874 Рік тому

    thank you for this. could you please upload the second part?

  • @igorkimrb
    @igorkimrb Рік тому

    thank you for so simple explanation

  • @sameerrao1380
    @sameerrao1380 Рік тому

    Thanks for this ,Was much needed ! PLease keep posting your content , would really help people like me.

  • @rodgerdodger88
    @rodgerdodger88 Рік тому

    Where can I learn about the difference of (percent of total) and normalization. I find that I like my data to not stretch all the way to 0 or 1?

  • @MohammadAli-cr9yi
    @MohammadAli-cr9yi Рік тому

    what is the benefit to scale down values between 0 to 1, can you please elaborate?

  • @debjanisarkar9136
    @debjanisarkar9136 Рік тому

    Great video Sir, can you please tell how to do the same in SPSS instead of Python. Regards

  • @dev0_018
    @dev0_018 Рік тому

    well explained, thanks 👍

  • @shankar610
    @shankar610 2 роки тому

    Fantastic! Thank you so much!😊

  • @Gabriel-cf3bw
    @Gabriel-cf3bw 2 роки тому

    you saved me!

  • @brianthomas9148
    @brianthomas9148 2 роки тому

    Extremely beautiful explanation!

  • @dhanasekarkumaresan7376
    @dhanasekarkumaresan7376 2 роки тому

    This is a really nice explanation. can you provide the CSV file/ link?

  • @paulfan7377
    @paulfan7377 2 роки тому

    great content

  •  2 роки тому

    nice explanation!

  • @raghav_birla
    @raghav_birla 2 роки тому

    Simplest explanation on UA-cam

  • @ekta9197
    @ekta9197 2 роки тому

    can you provide the data?

    • @datarlabs877
      @datarlabs877 2 роки тому

      Apologies for the late reply! What data are you looking for?

    • @brandondejesus6178
      @brandondejesus6178 Рік тому

      ​@@datarlabs877The script phython for study. Thanks 😅

  • @ashrafal-warraquiy6614
    @ashrafal-warraquiy6614 2 роки тому

    Great thanks f or this excellent video.

  • @libyannbaby3461
    @libyannbaby3461 3 роки тому

    Great explanation Please upload more videos on.machine learning topics

  • @sharmilasenguptachowdhry509
    @sharmilasenguptachowdhry509 3 роки тому

    very clear! please post more

  • @mohammadyahya78
    @mohammadyahya78 3 роки тому

    This is not fair that you don't do more videos about statistics and even advanced statistics. Please continue...

  • @JuanPortalG
    @JuanPortalG 3 роки тому

    You're brilliant, man!

  • @Nazeerul_Hazard
    @Nazeerul_Hazard 3 роки тому

    Very clear explanation. Thank you for this Anurag