click to
look inside
Look inside
Regression Analysis

Detecting Unusual Data

This project is part of the liveProject series Regression for Life Expectancy Analysis.
prerequisites
intermediate Python • basics of statistics (regression analysis) • basics of NumPy and pandas
skills learned
detecting unusual observations • visualizing and analyzing data with Matplotlib, seaborn, and statsmodels
Monica Guimaraes
1 week · 8-10 hours per week · INTERMEDIATE
filed under

placing your order...

Don't refresh or navigate away from the page.
liveProject This project is part of the liveProject series Regression for Life Expectancy Analysis. liveProjects give you the opportunity to learn new skills by completing real-world challenges in your local development environment. Solve practical problems, write working code, and analyze real data—with liveProject, you learn by doing. These self-paced projects also come with full liveBook access to select books for 90 days plus permanent access to other select Manning products. $17.99 $29.99 you save: $12 (40%) self-paced learning
Detecting Unusual Data (liveProject) added to cart
continue shopping
go to cart
Look inside
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.

book resources

When you start your liveProject, you get full access to the following books for 90 days.

project author

Monica Guimaraes
Monica Guimaraes has more than fifteen years of experience organizing and teaching undergraduate courses in automata theory, numerical analysis, programming languages, and statistics. Her passion for artificial intelligence goes back to her college years, having done her thesis in automatic-theorem-proving and working later as an AI researcher. She also has extensive experience in software development in corporations.

prerequisites

This liveProject is for confident Python programmers. To begin this liveProject you will need to be familiar with:

TOOLS
  • Intermediate Python
  • Basics of pandas
  • Basics of NumPy
  • Basic Jupyter Notebook
TECHNIQUES
  • 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

features

Self-paced
You choose the schedule and decide how much time to invest as you build your project.
Project roadmap
Each project is divided into several achievable steps.
Get Help
While within the liveProject platform, get help from other participants and our expert mentors.
Compare with others
For each step, compare your deliverable to the solutions by the author and other participants.
book resources
Get full access to select books for 90 days. Permanent access to excerpts from Manning products are also included, as well as references to other resources.
RECENTLY VIEWED