Data Science Projects

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

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

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

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

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

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

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