Yannis Pappas's repositories
Identify-Fraud-using-Machine-Learning
Identified which Enron employees are more likely to have committed fraud using machine learning and public Enron financial and email data.
Exploring-Uber-Demand
Investigated a dataset using R and exploratory data analysis techniques, exploring both single variables and relationships between variables.
Autonomous-Driving-Agent
In this project, we work towards constructing an optimized Q-Learning driving agent that navigates a Smartcab through its environment towards a goal.
Wrangle-OpenStreetMap-Data
Chose a region and used data munging techniques to assess the quality of the data for validity, accuracy, completeness, consistency and uniformity.
Income-Prediction-Based-on-Census-Data
In this project, we employ several supervised learning algorithms to accurately model individuals' income using data collected from the 1994 U.S. Census.
Investigating-a-Dataset
Posed a question about a dataset, then used NumPy and Pandas to answer that question based on the data and created a report to share the results.
machine-learning
Content for Udacity's Machine Learning curriculum
minimal-mistakes
:triangular_ruler: A flexible two-column Jekyll theme. Perfect for personal sites, blogs, and portfolios hosted on GitHub or your own server.
nd0821-c2-build-model-workflow-starter
Starter Code for the Course 2 project of the Udacity ML DevOps Nanodegree Program
Test-a-Perceptual-Phenomenon
Analyzed the Stroop effect using descriptive statistics to provide an intuition about the data, and inferential statistics to draw a conclusion based on the results.