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

Рет қаралды 22,235

3 жыл бұрын

Code generated in the video can be downloaded from here:
github.com/bnsreenu/python_fo...
Dataset link:
www.kaggle.com/kmader/skin-ca...
Data description:
arxiv.org/ftp/arxiv/papers/18...
The 7 classes of skin cancer lesions included in this dataset are:
Melanocytic nevi (nv)
Melanoma (mel)
Benign keratosis-like lesions (bkl)
Basal cell carcinoma (bcc)
Actinic keratoses (akiec)
Vascular lesions (vas)
Dermatofibroma (df)

Пікірлер: 37

@hussaintanzim6958 Жыл бұрын

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 3 жыл бұрын

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

@maheshpatel2005 3 жыл бұрын

Very nice topic covered...thanks

@vimalshrivastava6586 2 жыл бұрын

Very useful video... thanks a lot🙏

@surflaweb 3 жыл бұрын

Great explaination!

@dr.aravindacvnmamit3770 3 жыл бұрын

Excellent one much needed!!!!!!!!' 🥰

@vmdhar 3 жыл бұрын

Excellent sir

@safakhodabakhsh7822 3 жыл бұрын

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?

@unamattina6023 Жыл бұрын

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 :)

@anitadalla 3 жыл бұрын

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

@michaelasante5363 2 жыл бұрын

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

@setarehmdghlch3155 3 жыл бұрын

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

@DigitalSreeni 3 жыл бұрын

Noted!

@satindernagra3231 3 жыл бұрын

thanku sir

@jyothihk5460 2 жыл бұрын

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

@DeepikaChauhan-kx5ex Жыл бұрын

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

@IV__VishnuSasidharan 2 жыл бұрын

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

@zahrajalali1453 3 жыл бұрын

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

@krishnasowjanyapallem5862 2 жыл бұрын

why to convert image to numpy array format?

@oozcan42 2 жыл бұрын

Thanks

@DigitalSreeni 2 жыл бұрын

Welcome

@mdahad5402 3 ай бұрын

which algorithm you used in first method?

@pvrnaaz 2 жыл бұрын

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 2 жыл бұрын

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

@anamsahar7484 Жыл бұрын

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

@mustafachenine7942 2 жыл бұрын

is there the same project using pca

@swatimishra1555 7 ай бұрын

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

@Broken55605 4 ай бұрын

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

@snehaghosh749 8 ай бұрын

Why we are using pytorch? pls explain

@fofogogo 3 жыл бұрын

tesorflow and python version Please ...thanks

@jihanalam5156 3 жыл бұрын

Which Software you are using for coding this?

@charrakiwissal3950 2 жыл бұрын

spider

@Broken55605 4 ай бұрын

Can someone share the github code link please?

@AyadEKorial 3 жыл бұрын

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 3 жыл бұрын

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 3 жыл бұрын

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

@SL-nx3df Жыл бұрын

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