Welcome to this repository!
This is a collection of hands-on case studies from Chapter 2: Python for Data Science in the Data Science Project Handbook. Whether you're just starting with Python in Data Science or looking for practical examples to enhance your skills, you've come to the right place!
- Case Study 2.1 – Sentiment Analysis of Customer Reviews
Analyze customer sentiment using List Comprehension and Dictionary Comprehension to efficiently process and evaluate review scores. - Case Study 2.2 – Analyzing Customer Purchase Patterns in E-Commerce
Explore shopping behavior by analyzing transaction data using Lambda, Map, Filter, and Reduce functions to identify purchasing trends. - Case Study 2.3 – Deep Dive into Customer Purchase Patterns
A more in-depth look at customer shopping patterns, leveraging functional programming techniques in Python to extract meaningful insights.
- Beginners looking to apply Python in real-world Data Science scenarios.
- Data professionals seeking practical implementations of key Python concepts.
- Anyone eager to sharpen their Python skills through engaging case studies.
- Clone the repository:
git clone https://github.com/your-username/repository-name.git - Navigate to the desired case study folder.
- Run the Python scripts and experiment with the code!
We welcome contributions! If you have ideas, improvements, or additional case studies, feel free to submit a pull request or open an issue.
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