Data Science Projects

Practice implementing an inventory system for a laptop store using Python classes, dictionaries, and binary search.

Practice building a K Nearest Neighbors classifier in Python to predict heart disease risk from patient data.

Practice using OOP, error handling, and randomness in Python to create an interactive gardening game simulator.

Practice statistical analysis in Python to investigate movie rating bias and determine if Fandango inflated ratings.

Practice using Python variables, lists, loops, conditionals, and file handling to build an interactive word-guessing game.

Practice analyzing survey data in Python to uncover insights about data science careers and skills.

Practice using Jupyter Notebook to run code, add text, and install locally for real-world data projects.

Practice using Jupyter Notebook to analyze real-world data on helicopter prison escapes.

Practice using MapReduce in Python to efficiently analyze a large Wikipedia dataset and build in-demand data skills.

Practice using Python loops, string cleaning, and date handling to uncover real-world data insights.

Practice using Python and data analysis on real mobile app market data to develop profitable app ideas.

Practice exploratory data visualization in Python using pandas, Matplotlib, and Seaborn to find indicators of heavy traffic on I-94.