Data Cleaning with Python Pandas: Hands-On Tutorial with Real World Data

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  • เผยแพร่เมื่อ 31 ม.ค. 2025

ความคิดเห็น • 14

  • @onurdatascience
    @onurdatascience  หลายเดือนก่อน

    Thanks for watching my video! Want to learn more about Data Analysis? Check out my 40+ video playlist on Data Analysis Tutorials here: th-cam.com/play/PLTsu3dft3CWhwPJcaAc-k6a8vAqBx2_0t.html&si=iMuMQ3-goSlv5LFw
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  • @vic5534
    @vic5534 8 หลายเดือนก่อน +4

    Just found this channel and daamn. Thank you for these I really needed it

    • @onurdatascience
      @onurdatascience  8 หลายเดือนก่อน

      Welcome! Thanks for watching

  • @d4d5c4-
    @d4d5c4- 8 หลายเดือนก่อน +2

    all your videos are clear and useful, much appreciated

    • @onurdatascience
      @onurdatascience  8 หลายเดือนก่อน +1

      Glad to hear that! Thanks for watching!

  • @bcbruno1481
    @bcbruno1481 หลายเดือนก่อน +2

    Amazing video!!!
    Do you have any videos about data visualization?

    • @onurdatascience
      @onurdatascience  หลายเดือนก่อน

      Hello, I have full courses on channel, you can check data science courses playlist. Thanks for watching!

  • @soyroian
    @soyroian 8 หลายเดือนก่อน +1

    Once again, thank you for sharing your work. I have learned a lot.

    • @onurdatascience
      @onurdatascience  8 หลายเดือนก่อน +1

      I'm happy if I can help. Thanks for watching!

  • @onurdatascience
    @onurdatascience  5 หลายเดือนก่อน

    Thanks for watching! I hope you enjoyed the video. For more Data content you can subscribe to my channel, I share new videos every week.
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    Happy learning!

  • @hamidrezaakbari7611
    @hamidrezaakbari7611 9 หลายเดือนก่อน +2

    Thanks our. Great, as always

  • @md.kamrulislam5340
    @md.kamrulislam5340 9 หลายเดือนก่อน +1

    at 7.36, you write "1st Mentod, Filtering data". how could you write this in the VS code editor?

    • @onurdatascience
      @onurdatascience  9 หลายเดือนก่อน +2

      Hello, you can do that by creating Markdown in notebook. You can see in the left upper side of the Jupyter notebook , when you create that you can start with character "#" and after typing your text. When you make that cell run, you will have the same text with me