Airplane Engine Remaining Life Prediction Model - Python
Used Machine Learning models to forecast the remaining useful life of aircraft engines given multivariate time series observations from NASA C-MAPPS dataset

Used Machine Learning models to forecast the remaining useful life of aircraft engines given multivariate time series observations from NASA C-MAPPS dataset
Introductory self-taught project on using Machine Learning to detect fraudulent purchases in an imabalanced dataset of over 200,00 transactions
Performed data analysis, cleaning, and feature engineering to predict diamond prices. Used Backwards elimination with Akaike Information Criterion (AIC) for variable selection in SLR and MLR models.
Data Visualization and analysis of Santa Barbara Airport traffic to identify trends & flight delay patterns using the Department of Transportation's aviation data.
Introductory guided project on Python's Beautiful Soup Python package for parsing HTML documents, identifying the 100 largest companies by revenue in the US.
Introductory guided project on building a convolutional neural network to classify images of ASL hand signs from DataCamp's database.