20 Pandas Commands which will get 80% of work done - Clearly Explained

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  • Опубликовано: 14 ноя 2024

Комментарии • 36

  • @cartrack1553
    @cartrack1553 24 дня назад

    This is verh very helpful.
    This video needs more reach. Please share. This mans has put lot of efforts.

  • @JW-pu1uk
    @JW-pu1uk Год назад +3

    This is extremely helpful! I use pandas, but I’m self taught so there’s gaps in my knowledge. Thank you for taking the time to do this and help others learn

    • @MLWithAP
      @MLWithAP  Год назад

      Glad it was helpful!

  • @paulka427
    @paulka427 Год назад +1

    Wow, I wish I found this video days ago. This is helping me analyze my data set so much faster.

  • @satishharijan7280
    @satishharijan7280 Год назад +2

    its so use full for me thank you so much for this video keep continue as small code you explained well good job brother

  • @PrasadTGS
    @PrasadTGS Год назад +3

    Please continue doing these type of videos
    Helped me a lot.

  • @kiranpatil4968
    @kiranpatil4968 Год назад +1

    Please can you make on etl automation testing video using pytest framework and pandas

  • @therewereattempts
    @therewereattempts 5 месяцев назад +1

    thank you

    • @MLWithAP
      @MLWithAP  5 месяцев назад

      You're welcome

  • @omjayaram
    @omjayaram Год назад

    great work, look forward to learn more from this channel.

    • @MLWithAP
      @MLWithAP  Год назад +1

      More to come! Let me know if you want to see anything in specific.

    • @tekrajkhati1253
      @tekrajkhati1253 Год назад

      @@MLWithAP scikit learn please 🙏

  • @balajikomma541
    @balajikomma541 Год назад

    Could you please do same kind of video on numpy, matplotlib, seaborn, plotly

  • @FareedKhan24x7
    @FareedKhan24x7 3 месяца назад

    Amazing content!! It helped me a lot. Btw why do you sound like you’re dying?

  • @LearnWithAnkitaaa
    @LearnWithAnkitaaa Год назад +1

    Really helpful!

    • @MLWithAP
      @MLWithAP  Год назад

      Glad it was helpful!

  • @dpratte
    @dpratte Год назад

    Thank you, sir!

  • @Lotrick
    @Lotrick Год назад

    38:06 why does "Updated Age" column have 9 non-null items only?

    • @MLWithAP
      @MLWithAP  Год назад

      Good catch !
      Looks like while creating a new column "updated Age" , by mistake, I appended command head(10) as well at the end.
      titanic["Updated Age"] = pd.cut(titanic.Age, bins=[0, 18, 25, 99], labels=['child', 'young adult',
      'adult']).head(10)
      My bad. But hope you got the answer.

  • @kennethstephani692
    @kennethstephani692 Год назад

    Terrific video!!

  • @mlwithstats1703
    @mlwithstats1703 Год назад +2

    Pareto distribution

  • @tekrajkhati1253
    @tekrajkhati1253 Год назад

    You are the best :)

  • @azamiqbal8792
    @azamiqbal8792 Год назад

    Can you provide this file for practice

    • @MLWithAP
      @MLWithAP  Год назад +1

      Sure. Here it is : github.com/anaspmachinelearning/RUclipsTutorials