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prerequisites
intermediate Python • basic visualization with Matplotlib or seaborn • basic statistics
skills learned
simulating real-life game environments in Python • using NumPy and SciPy for mathematical operations • visualizing results with Matplotlib and seaborn
Emre Rencberoglu
1 week · 4-6 hours per week · INTERMEDIATE

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In this liveProject, you’ll stretch your Python data science skills by building a simulator for popular Blackjack variant game 21. You’ll design your simulation step-by-step, then use visualization techniques to interpret your findings. By the end of your project, you’ll have a winning strategy for playing card games and new skills with fundamental Python libraries like NumPy and SciPy.

This project is designed for learning purposes and is not a complete, production-ready application or solution.

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 intermediate Python programmers who want to improve their mathematical simulation skills. To begin this liveProject you will need to be familiar with the following:


TOOLS
  • Intermediate Python: loops, conditions, data structures, simple scripts
  • Basic plotting using Matplotlib and seaborn
  • Basic Jupyter Notebook
TECHNIQUES
  • Basic statistics: basic functions and distributions

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