Feature Engineering Full Course - in 1 Hour | Beginner Level

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  • เผยแพร่เมื่อ 12 ต.ค. 2024
  • In this 1-hour tutorial, I'll guide you through the ins and outs of one of the most critical steps in data science and machine learning. Whether you're a beginner or an experienced data scientist, this course will equip you with the tools and techniques you need to effectively transform raw data into features that can be used to train machine learning models.
    In this video, we'll cover everything from the basics of feature engineering, such as dealing with missing data, handling categorical variables, and scaling data, to more advanced techniques like feature selection, feature extraction, and feature construction. Along the way, I'll demonstrate these concepts using real-world datasets and Python code, so you can see exactly how to apply these techniques in practice.
    By the end of this course, you'll have a deep understanding of feature engineering and be equipped with the skills and knowledge you need to take your machine-learning projects to the next level. So if you're ready to master feature engineering, hit that play button, and let's get started!
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ความคิดเห็น • 19

  • @05phamquanganh85
    @05phamquanganh85 4 วันที่ผ่านมา

    Awesome! Thank you so much!

  • @estrella7639
    @estrella7639 10 หลายเดือนก่อน

    hope your channel grows more cause it has one of the best explainations

    • @Analyticsvidhya
      @Analyticsvidhya  10 หลายเดือนก่อน

      Thank you for your kind words. Please share among your peers!

  • @sudevanodasseril5213
    @sudevanodasseril5213 10 หลายเดือนก่อน

    Simple beautiful explanations, thank you.

  • @BRIJESHJha-u7o
    @BRIJESHJha-u7o 7 หลายเดือนก่อน

    we can extract features like the number of male and female passenger in ship

  • @officialVFBPredictor
    @officialVFBPredictor 8 หลายเดือนก่อน

    Hi. What is the difference in the titles: "Creating Bins" an "Binning Using Decision Tree Split" shown in video at 38:40 ?
    There are two separate sections but code looks same to me, what brings about the difference ? Is it the numbering of bins ?

    • @Analyticsvidhya
      @Analyticsvidhya  8 หลายเดือนก่อน +1

      Creating Bins is manual (you define the ranges), while Binning Using Decision Tree Split is automatic (algorithm finds best splits based on target variable). Same code might appear in the video, but the logic behind bin creation differs.

  • @new-ul3xo
    @new-ul3xo 22 วันที่ผ่านมา

    Where I can get this code???

  • @AlexNjuki
    @AlexNjuki 11 หลายเดือนก่อน

    Very helpful, thanks

  • @aarshraghav8092
    @aarshraghav8092 4 หลายเดือนก่อน

    Bro awesome 👌

  • @Elif-tt8ez
    @Elif-tt8ez 7 หลายเดือนก่อน

    how can we find train_bm dataset,can you share us please

    • @Analyticsvidhya
      @Analyticsvidhya  7 หลายเดือนก่อน +1

      Here's the course material for download: docs.google.com/document/d/1Yu01yGeKnXw4Ixj4cLj_0suPiQS8eOoFZeZhtHc5gEU/edit?usp=sharing

  • @Analyticsvidhya
    @Analyticsvidhya  2 หลายเดือนก่อน

    Book FREE 1:1 Mentorship for Gen AI / Data Science
    Link 🔗 bit.ly/3wlIIGz

  • @josephakintola5988
    @josephakintola5988 11 หลายเดือนก่อน

    how can we get the data set

    • @Analyticsvidhya
      @Analyticsvidhya  10 หลายเดือนก่อน

      Here's the course download link: docs.google.com/document/d/1Yu01yGeKnXw4Ixj4cLj_0suPiQS8eOoFZeZhtHc5gEU/edit?usp=sharing

  • @SirajNuran
    @SirajNuran 9 หลายเดือนก่อน

    I need your code

    • @Analyticsvidhya
      @Analyticsvidhya  8 หลายเดือนก่อน

      Download course material here: docs.google.com/document/d/1Yu01yGeKnXw4Ixj4cLj_0suPiQS8eOoFZeZhtHc5gEU/edit?usp=sharing