Getting started with Google Colaboratory (Colab) Tutorial for Beginners Part-1 | Session With Sumit

#Google Colaboratory aka Google #Colab is a free open source platform that provide you similar functionalities as Jupyter Notebook. Using Google Colab you may also make use for free RAM and Disk space that is around 12 GB and 100 GB respectively.

#GoogleColabTutorial

Follow the video to learn in detail about how to setup Google Colab and make use of it for all your Machine Learning and Data Science projects.

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[BhagatSingh]

Very very helpful. Specially for people who have old laptops and weak processors

[wereboss]

Thanks Sumit for today's LIVE session. This method of leveraging Google Collab is truly useful for me, when working over diff machines, since I guess i can access this on machines without Python.
Does Collab have any restrictions with Python libraries?
also, would love to hear your preferred datasets or contests on Kaggle for logistical regressions, which can help us learn all its aspects

[munnashaik]

Hi Sumith,
Thanks for starting from the beginning of importing the data sets. This is very helpful to me.
Please make a similar video for importing the data sets from the Github repository to Google Colab.
Any points to be noted while importing the data sets from the Github or Kaggle?
From your video dataset mounted on the drive, if any changes made in the Colab w.r.t. data like addition or deletion of rows & columns, will it be applied to the complete actual dataset.
What approach should be made when dealing with huge datasets? playing with actual dataset or creating a copy & then applying our algorithms

[deekshasirsa]

hi sumit ..i am finding mentor for helping me. I am new to data science. How I can connect with u

[salampeople]

thanks. but how do we free up google colab disk space ?

[abhisheksoni]

Hi Sumit, Can we upload the Jupyter notebook file to google colab?

[tazulislam]

Boss, how to append this data in html table? please!