PCA Analysis in Python Explained (Scikit - Learn)

Поделиться
HTML-код
  • Опубликовано: 24 ноя 2024

Комментарии • 9

  • @RyanAndMattDataScience
    @RyanAndMattDataScience  3 месяца назад

    Hey guys I hope you enjoyed the video! If you did please subscribe to the channel!
    Join our Data Science Discord Here: discord.com/invite/F7dxbvHUhg
    If you want to watch a full course on Machine Learning check out Datacamp: datacamp.pxf.io/XYD7Qg
    Want to solve Python data interview questions: stratascratch.com/?via=ryan
    I'm also open to freelance data projects. Hit me up at ryannolandata@gmail.com
    *Both Datacamp and Stratascratch are affiliate links.

  • @mehdismaeili3743
    @mehdismaeili3743 День назад

    Excellent .

  • @henry-o8i
    @henry-o8i 8 месяцев назад +3

    Thanks- another great video. But i do have 2 questions? 1) how do i retrieve the column name of the component that has the most explained variance (for EDA purposes). 2) is PCA used for feature engineering? or will you have a video that talk about feature engineering later on?

  • @bommijn
    @bommijn 5 месяцев назад

    Hey, something i noticed. You copy the column names back into your X_train after scaling. Is it not easier to do "X_train = pd.DataFrame(ss.fit_transform(X_train), columns=X_train.columns)"

  • @alexhernandezherrera5198
    @alexhernandezherrera5198 6 месяцев назад

    great video, thanks for explain clearly

  • @Divy91311
    @Divy91311 Год назад

    Hey Ryan , really nice video! I was wondering if I could help you edit your videos and also make a highly engaging Thumbnail which will help your video to reach to a wider audience .

    • @RyanAndMattDataScience
      @RyanAndMattDataScience  Год назад

      Sorry have an editor and I make my own thumbnail. I appreciate you reaching out though

    • @Divy91311
      @Divy91311 Год назад +1

      @@RyanAndMattDataScience Sure bro no problem, if anyone in your contact is searching for an editor please refer me !!