Anthony’s Data Analysis Portfolio

By Anthony Marcolongo

Project 1: Can we predict bitcoin price based off daily volume traded?

Description: This was my graduate capstone project.

The purpose of this project was to use both linear regression and logistic regression to determine if there is a link between daily price and volume traded.

fig 1: Graph of Volume Traded versus Closing Price

fig 2: Graph of log(Volume Traded) versus Closing Price

Project 2: A Tableau Dashboard Analyzing the Effect of Volcanos on Humans

Description: This was a project that I put together for practice creating Tableau Dashboards.

The purpose of this project was to gain experience with Tableau.

fig 3: Tableau Dashboard

Project 3: Natural Language Processing with TensorFlow 2.0

Description: Natural Language Processing was used to predict if an Amazon user review would be classified as either positive, or negative.

The purpose of this project was to gain familiarity with NLP in Tensorflow 2.0.

fig 4: Mean Absolute Error by # of Epochs

Project 4: Analyzing Medical Readmittance with Principal Component Analysis

Description: Principal Component Analysis was used to determine the likelyhood of a patient being readmitted to the hospital.

The purpose of this project was to show that it is possible to create a model that calculates if a patient will be readmitted or not.

fig 5: Proportion of Variance Explained

fig 6: Scree Plot