All resources for Streamlining Machine Learning Pipelines: EDA to deployment
Instructor: Laisha Wadhwa
Time: 23rd Aug 2020 05:00 – 06:00
Webinar: A comprehensive guide to building an end-end data science pipeline with inclusion of tools like lazy predict (https://pypi.org/project/lazypredict/) to introduce a fast yet effective way to run multiple models with few lines of code. Towards the end of the webinar I would introduce yet another tool called voila which helps to convert any jupyter notebook to an HTML webpage.
Details on Hands on sessions:
Access Google colab and familiarize yourself with running code in the colab environment.
Read the 'Getting started' guide and go through the introductory video.
To run the notebooks open the link during the session and then select either of the two options:
- Open in Playground mode.
- Save a copy in My drive and then run it in colab instance.
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Hands on Model building with EDA : Working our way from EDA to Model building.
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EDA in Bokeh : You'll be working with StackOverflow question and Tags data. After training a Logistic regression model you'll be understanding the importance of terms towards contributing the class of the tag.
All resources and further reading are added in the slides.
In case of any queries you can reach me on Linkedin and Twitter