https://github.com/packtworkshops/the-applied-data-science-workshop
https://github.com/packtworkshops/the-applied-data-science-workshop
Last synced: over 1 year ago
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- Host: GitHub
- URL: https://github.com/packtworkshops/the-applied-data-science-workshop
- Owner: PacktWorkshops
- License: mit
- Created: 2020-01-09T07:32:11.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2022-09-30T18:51:19.000Z (almost 4 years ago)
- Last Synced: 2025-03-29T05:22:39.861Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 32 MB
- Stars: 29
- Watchers: 7
- Forks: 35
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Applied Data Science Workshop
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This is the repository for [The Applied Data Science Workshop](https://www.amazon.com/Applied-Data-Science-Workshop-applications/dp/1800202504/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611064853&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781800202504&utm_term=Applied%20Data%20Science&utm_content=The%20Applied%20Data%20Science%20Workshop), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the course from start to finish.
## Requirements and Setup
To get started with the project files, you'll need to:
1. Install Jupyter on [Windows](https://www.python.org/downloads/windows/), [Mac](https://www.python.org/downloads/mac-osx/), [Linux](https://www.python.org/downloads/source/)
2. Install Anaconda on [Windows](https://www.anaconda.com/distribution/#windows), [Mac](https://www.anaconda.com/distribution/#macos), [Linux](https://www.anaconda.com/distribution/#linux)
## About The Applied Data Science Workshop
[The Applied Data Science Workshop](https://www.amazon.com/Applied-Data-Science-Workshop-applications/dp/1800202504/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611064853&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781800202504&utm_term=Applied%20Data%20Science&utm_content=The%20Applied%20Data%20Science%20Workshop) explores the key elements and interesting applications of data science techniques with the help of practical examples and interactive exercises. Following a hands-on approach, it allows you the freedom of analyzing data in the Jupyter Notebook effectively using many diverse open-source Python libraries.
Taking an interactive approach to learning the fundamentals, The Applied Data Science Workshop is ideal for beginners. You’ll learn all the best practices and techniques for applying data science in the context of real-world scenarios and examples.
## What you will learn
* Understand the key opportunities and challenges in data science
* Use Jupyter for data science tasks such as data analysis and modeling
* Run exploratory data analysis within a Jupyter Notebook
* Visualize data with pairwise scatter plots and segmented distribution
* Assess model performance with advanced validation techniques
* Parse HTML responses and analyze HTTP requests
## Related Workshops
If you've found this repository useful, you might want to check out some of our other workshop titles:
* [The Data Wrangling Workshop](https://www.amazon.com/Data-Wrangling-Workshop-actionable-insights/dp/1839215003/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611065162&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781801078955&utm_term=Data%20Wrangling&utm_content=The%20Data%20Wrangling%20Workshop)
* [The Applied SQL Data Analytics Workshop](https://www.amazon.com/Applied-SQL-Data-Analytics-Workshop-ebook/dp/B085D91RNK/ref=sr_1_2?crid=1FDBQD0TEVVF9&dchild=1&keywords=applied%20sql%20data%20analytics%20workshop&qid=1610707878&sprefix=applied%20sql%20dat%2Caps%2C330&sr=8-2&utm_source=github&utm_medium=repository&utm_campaign=9781800203679&utm_term=Applied%20SQL%20Data%20Analytics&utm_content=The%20Applied%20SQL%20Data%20Analytics%20Workshop)
* [The Data Analysis Workshop](https://www.amazon.com/Data-Analysis-Workshop-state-art-ebook/dp/B08Q8HXRQ4/ref=sr_1_1?dchild=1&keywords=The%20Data%20Analysis%20Workshop&qid=1610708839&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781839211386&utm_term=Data%20Analysis&utm_content=The%20Data%20Analysis%20Workshop)