Airflow tutorial for beginners | Airflow tutorial python

Airflow tutorial for beginners | Airflow tutorial python | Airflow tutorial 1

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Airflow tutorial for beginners | Airflow tutorial python | Airflow tutorial 1
#machinelearning #datascience #unfolddatascience
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My name is Aman and I am a Data Scientist.
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Topics for the video:
Airflow tutorial for beginners
Airflow tutorial python
Airflow tutorial 1
Airflow tutorial for beginners in tamil
Airflow tutorial for beginners in hindi
Airflow tutorial for beginners windows
Airflow tutorial GCP
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Airflow tutorial playlist
About Unfold Data science: This channel is to help people understand the basics of data science through simple examples in an easy way. Anybody without prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at a high level through this channel. The videos uploaded will not be very technical in nature and hence can be easily grasped by viewers from different backgrounds as well.
Book recommendation for Data Science:
Category 1 - Must Read For Every Data Scientist:
The Elements of Statistical Learning by Trevor Hastie - amzn.to/37wMo9H
Python Data Science Handbook - amzn.to/31UCScm
Business Statistics By Ken Black - amzn.to/2LObAA5
Hands-On Machine Learning with Scikit Learn, Keras, and TensorFlow by Aurelien Geron - amzn.to/3gV8sO9
Category 2 - Overall Data Science:
The Art of Data Science By Roger D. Peng - amzn.to/2KD75aD
Predictive Analytics By By Eric Siegel - amzn.to/3nsQftV
Data Science for Business By Foster Provost - amzn.to/3ajN8QZ
Category 3 - Statistics and Mathematics:
Naked Statistics By Charles Wheelan - amzn.to/3gXLdmp
Practical Statistics for Data Scientist By Peter Bruce - amzn.to/37wL9Y5
Category 4 - Machine Learning:
Introduction to machine learning by Andreas C Muller - amzn.to/3oZ3X7T
The Hundred Page Machine Learning Book by Andriy Burkov - amzn.to/3pdqCxJ
Category 5 - Programming:
The Pragmatic Programmer by David Thomas - amzn.to/2WqWXVj
Clean Code by Robert C. Martin - amzn.to/3oYOdlt
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Пікірлер: 44

@tulubacha611 10 ай бұрын

Very helpful introduction. Thank you.

@vani.bhuvanagiri6716 9 күн бұрын

Great explantion !!

@XylophoneX-yi5hk 5 ай бұрын

nice one, many thanks

@jabbarkhan2060 Жыл бұрын

Nice explanation 👍

@masudulislam1828 7 ай бұрын

Great video ❤

@georgechristy11 Жыл бұрын

amazing course ... Aman please add courses for deployment and monitoring framework with use case. Especially how stakeholders can access the predictions with api. As always you are super helpful

@pratheeshkumarcoolturbo 9 ай бұрын

Thanks a lot for the clear explanation

@harsh2014 11 ай бұрын

Thanks for the tutorial !

@AshisRaj 7 ай бұрын

Nice explanation. I was looking for it somewhere and KZfaq suggested your video.

@salexsurya Жыл бұрын

Exactly what I wanted. Thank you for great video.

@UnfoldDataScience Жыл бұрын

Welcome.

@pankajjagdale2005 Жыл бұрын

very helpful tutorial , Please make tutorial on spark and kafka

@pravinandhale 7 ай бұрын

Best

@c.nbhaskar4718 Жыл бұрын

you are our saviour aman ..thank u very much

@UnfoldDataScience Жыл бұрын

Welcome Bhaskar. Hope u doing good

@technicalabhi7683 Жыл бұрын

Very helpful and easy to understand ❤

@UnfoldDataScience Жыл бұрын

Thanks Abhi

@truptikatkamwar6189 Жыл бұрын

Best Tutorial.please can you make more video on airflow?

@prasannalakshmi14 8 ай бұрын

It's very helpful,plz make a vedio of airflow part 2..

@SaiKiranAdusumilli Жыл бұрын

Great and simple

@UnfoldDataScience Жыл бұрын

Thanks Sai.pls share with friends

@karndeepsingh Жыл бұрын

Great Tutorial. Kubernetes and Kubeflow series would also be a great addon

@UnfoldDataScience Жыл бұрын

Thanks Karndeep. Sure

@user-xb5pj6th3f 8 ай бұрын

t's very helpful,plz make a vedio of airflow part 2..

@jitendraturkar6999 9 ай бұрын

Amazing session!!❤

@UnfoldDataScience 9 ай бұрын

Thanks Jeetu

@mobinansarivlog9126 6 ай бұрын

Sir can run this in os windows too.

@navturn 11 ай бұрын

Thank you for this amazing video! for those still having the "airflow.exceptions.AirflowException: `python_callable` param must be callable" error despite removing the parenthesis you have to rename the function to something else too, like print_world_func. I was still having this error because the name of the callable function was the same name as the PythonOperator here " PRINT_WORLD = PythonOperator(task_id='print_world', python_callable=PRINT_WORLD)