GitHub - khanhnamle1994/cracking-the-data-science-interview: A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

This section contains case study questions that concern designing machine learning systems to solve practical problems. This section contains portfolio of data science projects completed by me for academic, self learning, and hobby purposes. Movie Recommendation: Designed 4 different models that recommend items on the MovieLens dataset. Trip Optimizer: Used XGBoost and evolutionary algorithms to optimize the travel time for taxi vehicles in New York City. Instacart Market Basket Analysis: Tackled the Instacart Market Basket Analysis challenge to predict which products will be in a user's next order.