Installing Anaconda For Data Science | Jupyter Notebook for Machine Learning | Google Colab for ML
Вставка
- Опубліковано 4 сер 2024
- Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. The distribution includes data-science packages suitable for Windows, Linux, and macOS. It is developed and maintained by Anaconda.
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, data visualization, machine learning, and much more.
A virtual environment is a tool that helps to keep dependencies required by different projects separate by creating isolated Python virtual environments for them. This is one of the most important tools that most Python developers use.
Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Collaboratory, or “Collab” for short, is a product from Google Research. Collab allows anybody to write and execute arbitrary python code through the browser and is especially well suited to machine learning, data analysis, and education.
Code used:
github.com/campusx-official/r...
============================
Do you want to learn from me?
Check my affordable mentorship program at : learnwith.campusx.in/s/store
============================
📱 Grow with us:
CampusX' LinkedIn: / campusx-official
CampusX on Instagram for daily tips: / campusx.official
My LinkedIn: / nitish-singh-03412789
Discord: / discord
Instagram: / campusx.official
E-mail us at support@campusx.in
✨ Hashtags✨
#100DaysOfMachineLearning #MachineLearningFullCourse #machinelearninginhindi
⌚Time Stamps⌚
00:00 - Intro
01:30 - Installing Anaconda
03:00 - Spyder
03:50 - Jupyter Notebook
11:34 - Virtual Environment
23:40 - Using Kaggle
29:20 - Google Collab
36:28 - Outro
Sir, I'm glad I came across to your UA-cam channel. It's literally a blessing to all Data Science aspirants. Following your ML playlist + explanation is brilliant. Tons of Thanks to you !!!! You deserve a lot more subscribers :)
lot of us indian students will be well versed and experienced in machine learning thanks to you.
i was scratching my head whether i should use colab or anaconda and this guy made it so easy.... thanks bro.....
Watching more video of this guy can help you more :)
Yeah he made it really easy tbh
This is a very very helpful video .... especially the last kaggle dataset to google colab part. Thanks a lot Nitish !
thank you sir . Just got the best playlist in the whole youtube
Feeling blessed to come across your channel
Excellent way to explain Anaconda environment. Thank you
I still feel its a blessing to get to know about your channel
Fantastic Demo, Thanks for sharing the tips & tricks
till now what i feel is that it is best playlist ,hope i enjoy this whole playlist ,thanks a lot sir , for such a effort
You are simply superb. Your videos are basic and easy to follow through. Thank you for doing this to your community.
....😅😮
quite informative. Thank you
Very Good , Keep the good work..! continue Thanks
Thankyou so much sir,now I have learned how to use Kaggle data in collab.
Very nice lecture.....loving this flow
Thank you so much sir for sharing these so very useful details...Thanks alot sir for making this so informative playlist👌😇
i am loving this course yrr😍😋
Sir aapne to economical weaker section ke aspirant ke problem ka solution de diya..u r such a great teacher...
Very underrated comment.
Thankk you soo much Sir!!!!! I wish koi hume college mein aise sikhata, I really struggled with importing Datasets before 🙃
this video is very helpful .. thank you so much Sir .
you r doing great sir............
You are a jam sir. I must say that you are my life Saviour
top-notch content
Thank you very much it helped me a lot .
Thanks so much
Excellent simply excellent
Great work..👍
Amazing sir
Pura samajh mein a Gaya sar
Amazing❤
you every video is worth watching
Thanks a lot sir....
Thankyou so much Sir
Thank you Sir for the playlist. You're a great teacher.
Love from Pakistan, 5/7/2024
you really deserver more respect
you are a gem sir
Thank you so much sir
Thank you ❤️😁🙏🏻
very good sir thank you so much
Love you sir❤
thank you sir 🙏
Thank You!!!
Thankyou sir❤❤
Thanks!
is there any need to learn core language like c++ orr java for an interview in MNCs?
Very informative, also pls mk video on how to upload test data and how its done for
kaggle competition
Thanks
Thank you soooooo much sir. I bought a new mac for machine learning and I was struggling to set up my required software. You vedio helped a loot.
thanks
Damm ! 👍😌
great
Hi please help me as my system is Windows 7 little old laptop...so i am not able to find compatible recent anaconda download files...where and how can i find it ?
literally an amazing course.. Thank You so Much 😁
Have you gone through Krish Naik's course? Is it better then his course?
33:58 important, how to use kaggle dataset directly in colab
Willl the 2gb of dataset add up to google drive storage?
done
Willl the 2gb of dataset add up to google drive storage?
how to create a virtual environment with a particular python version in jupyter ?
How did you made the text bold? can anyone help
Sir Can I directly use Jupyter Notebook without installing anaconda
Amazing explanation sir lakin sir mujh se kaggle pr titanic walay dataset ka link copy nhi hua copy ka option hi nhi mil raha
I'm getting attribute error for pandas cannot find read_csv(). What can be done?
sir I also facing this problem 'environment delete problem' after 3 or 4 try . then I remove env from anaconda nevigator firstly after that remove env from anaconda promt then its done👍
How does making a virtual environment help in deploying ML solutions on a server(remote)? If we take remote connection of the server, we would need to install complete anaconda on it, so it will install all the requirements right ? And hence consume our 440MBs of data. I am confused over the concept. Can you please elaborate.
No you don't need to install anaconda on the remote server. Will explain it in detail in a future video
done !!
11 July 2024
7:26 PM
sir it's showing pd is not defined
if i want to download another dataset from kaggle should i need to repeat the whole steps or just start from copy api command. just want to verify whether i need to repeat the make directory step again. thank you
Aapko iska solution mila?
Willl the 2gb of dataset add up to google drive storage?
How to download all these libraries
#I keep getting the following error on COLAB:
NameError: name 'extractall' is not defined
import zipfile
zip_ref = zipfile.ZipFile('/content/factors-affecting-campus-placement.zip', 'r')
zip_ref = extractall('/content')
zip_ref.close()
zip_ref. not =
34:00 how to import a large data set at a time in google colab
Sir vs code mai machine Learning karne pe bohot dikkat aarahi hai 🥲
bhai jupyter me kro naa
sir can you please provide notes
Sir channel ko subscribe kar lijiye
Sir pta nhi kyo lekin aapse padhne ka mza hi kuch aur hai, maine baaki teachers ke lecture bhi dekhe hai aur bore ho jata hu ek time baad
you know how to teach
Now Anaconda is 1GB
NICE AND TRICKY WAY
salam, I'm from Pakistan. just luv ur videos,I need some suggestions from you can you please help me out,If yes please let me know how to contact you. Thank you in advance
Thank you so much Sir
Thanks!
done
thank u sooooooooo muchh sir