This Jupyter Notebook implements Bayesian modeling techniques to fit a posterior distribution and forecast demand for an e-commerce company.
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Updated
Apr 28, 2024 - Jupyter Notebook
This Jupyter Notebook implements Bayesian modeling techniques to fit a posterior distribution and forecast demand for an e-commerce company.
Web scraping to gain company insights. Scraping and analysing customer review data to uncover findings for British Airways
ML pipeline using Logistic Regression to predict customer purchase intent. Involves data preprocessing, model training, hyperparameter tuning, and evaluation, aimed at helping businesses understand customer behavior and optimize sales strategies.
A virtual internship program in Forage. For British Airways, As a first part, web scraped customer reviews from SkyTrax and analysed sentiments of the reviews. As a second part, analysed customer behavior data to predict if they complete booking a flight.
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