For this project, I will be working to understand the results of an A/B test run by an e-commerce website. The goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

The functions involved in this repository use stochastic growth methods i.e. random walks to sample rare events.

Repository contains USA Stock Market prediction using Financial Fundamental data which involved EDA, Statistical Analysis and Model Building

word2vec embeddings for statistics and math equations from Wikipedia

Python-based analysis of BMW sales data to uncover revenue drivers and sales trends.

Exploratory Data Analysis (EDA) of the Google Play Store dataset using Python to uncover insights on app ratings, installs, categories, pricing, and trends.

Projects of Zeyao Li from STA303 at University of Toronto.

This project focuses on analyzing student academic performance data to identify factors that influence exam scores and overall achievement. Using Python and Pandas, the goal is to clean, explore, and analyze the dataset to answer important questions about student performance, study habits, attendance, and other contributing factors.