In this liveProject, you’ll build your own Python data library that can detect unusual data. This data can affect regression analysis, and so your library will help spot it before it can negatively affect results. You’ll program functions to detect high-leverage points, outliers, and influential observations. Through the analysis of multiple examples, you'll gain a deep understanding of the kind of problems that can arise with real data.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
This liveProject is for confident Python programmers. To begin this liveProject you will need to be familiar with:
- Intermediate Python
- Basics of pandas
- Basics of NumPy
- Basic Jupyter Notebook
- Basics of Python data analysis
- Regression Analysis
you will learn
In this liveProject, you’ll learn vital skills for detecting unusual data. These foundational skills are easy to transfer to almost any data undertaking.
- Detecting unusual observations
- Visualizing and analyzing data with Matplotlib, seaborn, and statsmodels