Data Science Projects

Practice retrieving financial data from APIs, manipulating it with Pandas, and visualizing trends using Python.

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

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

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

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

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

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

Practice building a deep learning model in TensorFlow to predict IPO listing gains using real Indian stock market data.

Practice building a regularized deep learning model in PyTorch to predict IPO profitability using real Indian stock market data with advanced evaluation techniques.

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

Practice using JupyterLab 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.