# The-Data-Science-Workshop

**Repository Path**: PacktWorkshops/The-Data-Science-Workshop

## Basic Information

- **Project Name**: The-Data-Science-Workshop
- **Description**: A New, Interactive Approach to Learning Data Science
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-07-03
- **Last Updated**: 2025-07-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# The Data Science Workshop
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This is the repository for [The Data Science Workshop](https://www.amazon.com/Data-Science-Workshop-learning-real-world-dp-1800566921/dp/1800566921/ref=mt_other?_encoding=UTF8&me=&qid=1611065035&utm_source=github&utm_medium=repository&utm_campaign=9781800566927&utm_term=Data%20Science&utm_content=The%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
<a href="https://www.amazon.com/Data-Science-Workshop-learning-real-world-dp-1800566921/dp/1800566921/ref=mt_other?_encoding=UTF8&me=&qid=1611065035&utm_source=github&utm_medium=repository&utm_campaign=9781800566927&utm_term=Data%20Science&utm_content=The%20Data%20Science%20Workshop"><img src="https://github.com/PacktWorkshops/Workshop-Covers/blob/master/The%20Data%20Science%20Workshop.png" alt="The Data Science Workshop" height="290px" width="230px" align="right" this.target="_blank"></a>

To get started with the project files, you'll need to:
1. Setup [Google colab](https://colab.research.google.com/notebooks/intro.ipynb)

## About The Data Science Workshop
[The Data Science Workshop](https://www.amazon.com/Data-Science-Workshop-learning-real-world-dp-1800566921/dp/1800566921/ref=mt_other?_encoding=UTF8&me=&qid=1611065035&utm_source=github&utm_medium=repository&utm_campaign=9781800566927&utm_term=Data%20Science&utm_content=The%20Data%20Science%20Workshop) equips you with the basic skills you need to start working on a variety of data science projects. You’ll work through the essential building blocks of a data science project gradually through the book, and then put all the pieces together to consolidate your knowledge and apply your learnings in the real world.	  

## What you will learn
* Explore the key differences between supervised learning and unsupervised learning 
* Manipulate and analyze data using scikit-learn and pandas libraries 
* Understand key concepts such as regression, classification, and clustering 
* Discover advanced techniques to improve the accuracy of your model 
* Understand how to speed up the process of adding new features 
* Simplify your machine learning workflow for production 

## Related Workshops
If you've found this repository useful, you might want to check out some of our other workshop titles:
* [The Machine Learning Workshop](https://www.amazon.com/Machine-Learning-Workshop-high-performance-scikit-learn/dp/1839219068/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=1611061956&sr=1-1&utm_source=github&utm_medium=repository&utm_campaign=9781801070065&utm_term=Machine%20Learning&utm_content=The%20Machine%20Learning%20Workshop)
* [The Deep Learning Workshop](https://www.amazon.com/Deep-Learning-Workshop-next-generation-TensorFlow-ebook/dp/B08Q8GP7DJ/ref=sr_1_2?dchild=1&keywords=The%20Deep%20Learning%20Workshop&qid=1611054533&sr=8-2&utm_source=GitHub&utm_medium=Repository&utm_campaign=9781801075169&utm_term=Deep%20Learning&utm_content=The%20Deep%20Learning%20Workshop)
* [The Applied TensorFlow and Keras Workshop](https://www.amazon.com/Applied-TensorFlow-Keras-Workshop-real-world-ebook/dp/B08Q8F55ZS/ref=sr_1_1?dchild=1&keywords=The%20Applied%20TensorFlow%20and%20Keras%20Workshop&qid=1610976724&sr=8-1&utm_source=github&utm_medium=repository&utm_campaign=9781801078153&utm_term=Applied%20TensorFlow%20and%20Keras&utm_content=The%20Applied%20TensorFlow%20and%20Keras%20Workshop)