4.8. Feature extraction of Text data using Tfidf Vectorizer | Data Preprocessing | Machine Learning

Поділитися
Вставка
  • Опубліковано 24 січ 2025

КОМЕНТАРІ • 25

  • @The_Caronte
    @The_Caronte 3 роки тому

    Maravilloso todo... Saludos desde Colombia 🇨🇴🇨🇴🇨🇴🇨🇴🇨🇴

  • @Tony-vo9ok
    @Tony-vo9ok 5 місяців тому

    amazing!!!!!!!

  • @sachinvithubone4278
    @sachinvithubone4278 3 роки тому

    It's very easy to understand.. thanks

  • @chideraachinike7619
    @chideraachinike7619 4 дні тому

    One can become a world-class, practical AI/ML expert just by watching videos on this channel.
    Mad Respect! 🫡

  • @srushtimotghare2169
    @srushtimotghare2169 Місяць тому

    Why we had not taken title for feature extraction and used title and author?

  • @itsaayush7357
    @itsaayush7357 4 місяці тому +1

    Just one question, you have posted these vedios before projects..I mean in playlist all vedio till 4.10 lec contains projects stuffs like in this lec also first half part was theory but when it came to implementation you just read code of your project..so why this? Couldn't you have keep projects first, or these vedios later ?

  • @krishanudutta2943
    @krishanudutta2943 3 роки тому +1

    ❤️❤️

  • @guided_path56
    @guided_path56 2 роки тому

    this is throwing lower not found error.. why?

  • @ianmuriuki-i8j
    @ianmuriuki-i8j Рік тому

    You should have done it separately from the whole spam detection project. Also the dataset provided gives a UnicodeDecode Error when I try to load the csv to the dataframe.

  • @Greatpretender11c
    @Greatpretender11c 3 роки тому

    Good

  • @abhilashreddy8028
    @abhilashreddy8028 3 роки тому

    what is the diff bw countvectorizer and Tfif Vectorizer

    • @Siddhardhan
      @Siddhardhan  3 роки тому +1

      refer the following article: medium.com/@wenxuan0923/feature-extraction-from-text-using-countvectorizer-tfidfvectorizer-9f74f38f86cc

  • @AIResearchTechniques
    @AIResearchTechniques 2 роки тому

    Sir can you please post a video based on feature selection using PSO,bat, algorithm implemented in a tabular dataset with classifier and accuracy.

  • @universal4334
    @universal4334 3 роки тому

    Bro how to give input ? Do we need to give such values to model as input for prediction ?

    • @Siddhardhan
      @Siddhardhan  3 роки тому +1

      hi! we can give the texts as input. check out my "Fake News Prediction Project video". you can get more informations on this.... and refer other project videos like diabetes prediction, to understand how to make a predictive system

  • @AliSher-kv3pd
    @AliSher-kv3pd 3 роки тому +1

    Bro I am stuck on how to set the target label and I don't know which function I have to use and what will be the purpose of this function and what parameters i have to write in that function I still confused brother,i am following your channel from beginning and today I have finished this module but these are the confusion in my mind

    • @Siddhardhan
      @Siddhardhan  3 роки тому

      hi! watch the label Encoding video. it would be useful for you.

  • @durva2874
    @durva2874 Рік тому

    can you plz give smaller dataset so that it becomes easy for downloading

  • @vaishalilangote3951
    @vaishalilangote3951 3 роки тому

    from where can i get this code?

    • @Siddhardhan
      @Siddhardhan  3 роки тому

      hi! refer the Colab file link given in video description.

  • @pratikpatil956
    @pratikpatil956 3 роки тому +1

    we are doing label encoding for converting the output to numerical values.....how we can differentiate between label encoding and feature extraction.

  • @nisithkhawas9023
    @nisithkhawas9023 Рік тому +2

    Very bad teacher