Data Science Projects

Practice using R to analyze movie ratings data, compare 2015 vs 2016 ratings, and apply sampling and distributions to investigate bias.

Practice data cleaning, analysis, and visualization in R to explore survey data and showcase your skills with R Notebooks.

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

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 using linear regression in R to predict condominium sale prices based on size and location in New York City.

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

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

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

Practice analyzing COVID-19 data in R to identify affected countries, visualize insights with ggplot2, and quantify testing efforts.