Data Science Projects

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

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

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

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

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

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

Practice creating databases, schemas, and tables in PostgreSQL to store and manage crime report data.

Practice using data visualization principles in Python to create an engaging, storytelling graph about exchange rates.

Practice building a flexible data pipeline to download and store podcast episodes using Python and Airflow.

Practice installing PostgreSQL locally and connecting to the database using Python and psycopg2 to build essential skills.

Practice preprocessing text and building deep learning models in TensorFlow to classify disaster tweets and gain valuable NLP skills.

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