202 - Two ways to read HAM10000 dataset into python for skin cancer lesion classification

Поділитися
Вставка
  • Опубліковано 26 січ 2025

КОМЕНТАРІ • 37

  • @hussaintanzim6958
    @hussaintanzim6958 2 роки тому

    Thanks a lot for the amazing videos sir! Please keep sharing your knowledge as frequently as possible. Your hard work and efforts for all of us is highly appreciated!

  • @samarafroz9644
    @samarafroz9644 3 роки тому

    Wow you're amazing sir I'm big fan of your teaching skills. I'm blessed to have you in my life. Thanks so much

  • @jyothihk5460
    @jyothihk5460 2 роки тому +1

    Path is shown none in my note book sir how can fix this??

  • @swatimishra1555
    @swatimishra1555 Рік тому +1

    I am doing step by step implementation as explained but then also I am not getting the image path . plz tell me why?

    • @Broken55605
      @Broken55605 11 місяців тому

      If you are doing the project using jupyter it will be different and for colab it will be different, check it out.

  • @anitadalla
    @anitadalla 3 роки тому +1

    Thank you very much ...I have learned a lot from your methods...Can you please apply one or two pretrained models like ResNet50/EfficientNetB7 on this...please please please make a video on that also

  • @DeepikaChauhan-kx5ex
    @DeepikaChauhan-kx5ex 2 роки тому

    In this image.open(x) show error in which it ask for the mode thus suggest what to do next

  • @IV__VishnuSasidharan
    @IV__VishnuSasidharan 2 роки тому

    Hi sir
    Where keep the dataset while run this. I mean in which folder i have put the dataset it show no such file or directory found while running
    Plz reply sir

  • @michaelasante5363
    @michaelasante5363 3 роки тому

    Is there any possible means of doing feature extraction to know which model best fits with their respective accuracies just like Weka.?

  • @mdahad5402
    @mdahad5402 10 місяців тому

    which algorithm you used in first method?

  • @unamattina6023
    @unamattina6023 2 роки тому

    great tutorial sir! do you have videos about upscaling/downscaling the number of images? that's a great way for me to learn from your videos, these are all great courses :)

  • @setarehmdghlch3155
    @setarehmdghlch3155 3 роки тому +1

    Hi Sreeni,
    Can you make a tutorial for super resolution in microscopic images ?

  • @snehaghosh749
    @snehaghosh749 Рік тому

    Why we are using pytorch? pls explain

  • @safakhodabakhsh7822
    @safakhodabakhsh7822 3 роки тому

    Great work! You have another channel Apeer micro, I watched both, and got mixed in between. Which one do you suggest to watch? which one are you updating? I assume this one?

  • @zahrajalali1453
    @zahrajalali1453 3 роки тому

    Hii.can i use this coding for one classification
    My problem is regression problem...
    And I don't want to class my data

  • @vimalshrivastava6586
    @vimalshrivastava6586 3 роки тому

    Very useful video... thanks a lot🙏

  • @maheshpatel2005
    @maheshpatel2005 3 роки тому

    Very nice topic covered...thanks

  • @krishnasowjanyapallem5862
    @krishnasowjanyapallem5862 3 роки тому

    why to convert image to numpy array format?

  • @pvrnaaz
    @pvrnaaz 2 роки тому

    This is absolutely great. I am trying to use this method however I get "'NoneType' object has no attribute 'read'" after running that lambda line of this code. I can't understand why and solving this is really important to me. Would you please help me with this error? I did exactly as in the video

    • @DigitalSreeni
      @DigitalSreeni  2 роки тому

      NoneType means there is no data. Please check your path to images.

    • @anamsahar7484
      @anamsahar7484 Рік тому

      @@DigitalSreeni it shows 54731 images in 8 classes even though I have only 7 folders in my reorganized folder

  • @Broken55605
    @Broken55605 11 місяців тому

    Can someone share the github code link please?

  • @dr.aravindacvnmamit3770
    @dr.aravindacvnmamit3770 3 роки тому

    Excellent one much needed!!!!!!!!' 🥰

  • @SL-nx3df
    @SL-nx3df 2 роки тому

    data_dir = os.getcwd() + "C:\Users\Saim Liaqat Ali\Pictures\HAM 10000\HAM10000 images"
    SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 2-3: truncated \UXXXXXXXX escape
    im getting this error about above line of code,can you plz help me out

  • @mustafachenine7942
    @mustafachenine7942 2 роки тому

    is there the same project using pca

  • @AyadEKorial
    @AyadEKorial 3 роки тому

    Please what gpu you are have?
    I need to buy a gpu for deep learning and I want rtx 3070 or rtx 3080
    Please advise me.

    • @DigitalSreeni
      @DigitalSreeni  3 роки тому +1

      I do not have personal experience with either cards but they are decent GPUs. I have a 8 year old 4GB GPU and it makes a great difference from not having a GPU. So a 3070 with 8GB will make a huge difference for you. I see both 3070 and 3080 as too similar where 3070 is much cheaper. If your goal is to have a GPU for learning and prototyping purposes then either is fine, depending on your budget. If your goal is to work with extremely large datasets and build production quality applications then you need to find other powerful GPUs. In summary, if you are a wealthy person with disposable money and you need a toy for learning deep learning then spend the extra $200 to get 3080. If you are budget conscious and want to get the most bang for the buck, save those $200 and get the 3070.

    • @AyadEKorial
      @AyadEKorial 3 роки тому

      @@DigitalSreeni Thank you so much for this valuable comment.

  • @jihanalam5156
    @jihanalam5156 3 роки тому

    Which Software you are using for coding this?

  • @surflaweb
    @surflaweb 3 роки тому

    Great explaination!

  • @vmdhar
    @vmdhar 3 роки тому

    Excellent sir

  • @fofogogo
    @fofogogo 3 роки тому

    tesorflow and python version Please ...thanks

  • @satindernagra3231
    @satindernagra3231 3 роки тому

    thanku sir

  • @oozcan42
    @oozcan42 2 роки тому

    Thanks