Task

GDSC-ML Team Interview Task

Jan 20, 2022 1 min read

GDSC-ML-Team—Interview-Task

Task 1 : Clean or Messy room

In this task we have to classify the given test images as clean or messy.

– Link for dataset

– Detailed explanations and code please go to the .ipynb

– For outputs and step-by-step explanation please visit Kaggle Notebook

? Note-

Please go to Kaggle notebook for running code, because I haven’t imported it to the Google Drive.

Thank you ?

Hope you’ll like it.

GitHub

Task

John was the first writer to have joined pythonawesome.com. He has since then inculcated very effective writing and reviewing culture at pythonawesome which rivals have found impossible to imitate.

GDSC-ML Team Interview Task

GDSC-ML-Team—Interview-Task

Task 1 : Clean or Messy room

In this task we have to classify the given test images as clean or messy.

– Link for dataset

– Detailed explanations and code please go to the .ipynb

– For outputs and step-by-step explanation please visit Kaggle Notebook

? Note-

Please go to Kaggle notebook for running code, because I haven’t imported it to the Google Drive.

Thank you ?

Hope you’ll like it.

GitHub

John

Let's make a lot of random function from Scracth

All exercises done during the Python 3 course in the Video Course (World 1, 2 and 3)

GDSC-ML-Team—Interview-Task

Task 1 : Clean or Messy room

In this task we have to classify the given test images as clean or messy.

– Link for dataset

– Detailed explanations and code please go to the .ipynb

– For outputs and step-by-step explanation please visit Kaggle Notebook

? Note-

Please go to Kaggle notebook for running code, because I haven’t imported it to the Google Drive.

Thank you ?

Hope you’ll like it.

GitHub

Let's make a lot of random function from Scracth

All exercises done during the Python 3 course in the Video Course (World 1, 2 and 3)

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