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Data Science Bookcamp

Analyze a Trust Network you own this product

This project is part of the liveProject series Data Science Bookcamp Projects
prerequisites
basic Python • basic pandas • basic scikit-learn • basic statistics • basic NetworkX • basics of machine learning: clustering
skills learned
pandas for data operations • scikit-learn for clustering • NetworkX to analyze and visualize network datasets
Emre Rencberoglu
1 week · 4-6 hours per week · INTERMEDIATE
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liveProject This project is part of the liveProject series Data Science Bookcamp Projects 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%)
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In this liveProject, you’ll turn your data science skills to analyzing an OTC network dataset scraped from bitcoin users in order to establish the most (and least!) trustworthy users. You’ll analyze a provided graph dataset, visualize it, generate features, and then create user clusters. You’ll start out by reading and examining the trust network dataset in Python, then create and interpret user clusters, and finally visualize the nodes and edges of the network dataset. This fast and engaging data science project will stretch your skills and build your knowledge of clustering.

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

Emre Rencberoglu
Emre Rencberoglu is a senior data scientist with over seven years of experience in machine learning, statistics, analytics, and data engineering. He developed numerous machine learning projects and built data pipelines from scratch using R, Python and Spark. Currently, he is leading a data science team of ten in one of the biggest e-commerce companies in the Europe, Middle East, and Africa region.

prerequisites

The liveProject is for data practitioners interested in exploring network analysis. To begin this liveProject, you will need to be familiar with the following:


TOOLS
  • Basic Python
  • Basic pandas: Dataframes, basic feature transformations
  • Basic scikit-learn
  • Basic NetworkX
  • Basics of Jupyter Notebook
TECHNIQUES
  • Basics of statistics
  • Basics of machine learning: Clustering

you will learn

In this liveProject, you’ll build your skills in analyzing network datasets and an introductory knowledge of clustering.


  • Python fundamentals to set up an analysis environment
  • pandas for data operations
  • scikit-learn for clustering
  • NetworkX to analyze and visualize network datasets

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.
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