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

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 cleaning real-world survey data, engineering features from multi-select fields, and building a linear regression model to predict developer salaries.

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.