How to think and do model deployment | ml model deployment aws sagemaker | model deployment aws

preview_player
Показать описание
How to think and do model deployment | ml model deployment aws sagemaker | model deployment aws
#datascience #machinelearning
Hello,
My name is Aman and I am a Data Scientist.

Follow on Instagram: unfold_data_science

Topics for the video:
model deployment machine learning,
model deployment using flask,
model deployment using streamlit,
model deployment,
model deployment using flask and heroku,
model deployment using fastapi,
model deployment aws,
model deployment in data science,
model deployment in gcp,
model deployment in python,
deploy model aws sagemaker,
ml model deployment aws sagemaker,
model deployment aws,
ml model deployment aws,

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:

Category 2 - Overall Data Science:

Category 3 - Statistics and Mathematics:

Category 4 - Machine Learning:

Category 5 - Programming:

My Studio Setup:

Join the Facebook group :

Follow on Twitter: @unfoldds

Watch python for data science playlist here:

Watch the statistics and mathematics playlist here :

Watch End to End Implementation of a simple machine-learning model in Python here:

Learn Ensemble Model, Bagging, and Boosting here:

Build Career in Data Science Playlist:

Artificial Neural Network and Deep Learning Playlist:

Natural language Processing playlist:

Understanding and building a recommendation system:

Access all my codes here:

Рекомендации по теме
Комментарии
Автор

Aman, thank you for such wonderful explanations and doing a lot for the whole data science community. Could you please create a video on AWS Sagemaker Pipeline E2E including : Data Extraction, Preparation, Model Training, Eval using conditions, and then doing model registry and finally deployment and Monitoring. I am looking for this content everywhere but unfortunately do not find a good one. Please think about it
Thanks
Prateek

prateekkumar
Автор

Bro your dressing sense is really good and at the same time the explanations are really helpful

fantasyapart
Автор

Thankyou so much sir, and also one thing I am very happy seeing you getting grow both on Youtube and in your career

machinelearning
Автор

ur videos awesome ssir, krishaik, codebasics, data professor so many

nareshkalyadapu
Автор

Great job Aman Bhai. Seeing you since 2k subscribers 🎉🎉🎉🎉 more to go...👋👋👏👏👑👑👌

Sagar_Tachtode_
Автор

Can anyone please share the python code. I can't get in google drive link of Aman. I got sample dataset, lambda code and json code but not that ipynb file. Thanks.

diwakermishra
Автор

can you make a vedio to automate this process using gitlab cicd pipelines

shivakumarpalled