Hands-on Anomaly Detection using Isolation Forest | Ethereum Fraud Detection | Kaggle Case Study

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  • Опубликовано: 26 янв 2025

Комментарии • 4

  • @SakshamParihar-f8g
    @SakshamParihar-f8g 9 дней назад

    sir thank you so much for your efforts such a good video and the bestest part of the video which i liked was that you gave a new perspective to me that not always missing data can be useless as when you showed missing data in relationship with distribution of column "FLAG" it turned out that missing data played a very crucial role and removing them could cause problem. thanks for such good knowledge and video. can you please share your linkedin i would like to connect with you.

    • @prosmartanalytics
      @prosmartanalytics  9 дней назад

      Thank you! Glad it helped. Stay tuned, we'll soon be providing some options to connect with our dedicated learners.😊

  • @idrees7861000
    @idrees7861000 8 месяцев назад

    great learning video, it help me in my assignment