Full Tutorial: Causal Machine Learning in Python (Feat. Uber's CausalML)

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  • Опубликовано: 26 ноя 2024

Комментарии • 14

  • @cherechukwuezeh3112
    @cherechukwuezeh3112 3 месяца назад +1

    Wooah! COming across this and this is about the best video so far that addressed my search for causality and even far above the dowhy and Econml models.
    I wish I have the funds to buy.
    Thanks.

  • @amirahheng3454
    @amirahheng3454 Месяц назад

    I have a question, what about if our target is a regression problem - like price forecasting, how do I check the correlation between the features with price?
    Good video! 🎉

  • @superuser8636
    @superuser8636 10 месяцев назад +1

    Another great video

  • @andresg3110
    @andresg3110 10 месяцев назад +1

    excellent! ten across the board

  • @derekcaramella8730
    @derekcaramella8730 Месяц назад

    Nice correlation funnel. I can see why you named it that 😅. Also, love the Plotly implement

  • @yusufsuleiman4833
    @yusufsuleiman4833 10 месяцев назад +1

    Great stuff

  • @gizl1
    @gizl1 10 месяцев назад +1

    Thank you for this! :D

  • @libphy
    @libphy 3 месяца назад +1

    I'm confused- none of the .glimpse() and .binarize() works on a pandas dataframe. I tried installing the same pandas version but still didnt' work. What am I missing?

    • @BusinessScience
      @BusinessScience  3 месяца назад

      Pytimetk- need to install and run import pytimetk as tk

  • @nurijanian
    @nurijanian 10 месяцев назад +1

    thank you, Matt 🙏