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ml-lab

Data wrangling, EDA, and model fitting on order and return data

nft-eda

An exploratory data analysis in R to look at one of the earliest NFTs, CryptoPunks. This EDA explores the attributes that make each CryptoPunk unique.

p2_investigate_dataset

Investigate Titanic dataset with Pandas and NumPy to find which factors helped passengers survived.

p3_wrangle_openstreetmap_richmond

Use data munging techniques to clean the OpenStreetMap data for Richmond. Then export to SQL database to query.

p4_red_wine_eda_with_r

Perform exploratory data analysis using R to explore multi-variable relationships, distributions, outliers, and anomalies.

p5_machine_learning_enron_fraud

Use machine learning to identify enron fraud through an email database.

p6_data_visualization_titanic

Visualize Titanic survivorship using dimple.js.

p7_a-b_test_udacity_launch

Plan out an A/B test for Udacity, define metrics, analyze results, and propose whether or not to launch changes.

titanic-survival-visualization

world_happiness_report_eda

An exploratory data analysis on the World Happiness Report Dataset from 2015 to 2022