Matthew Weinschenk

I work as an investment analyst at an independent research firm in Baltimore, MD.

My background includes degrees in economics and political science from the University of Pittsburgh, applied economics from Johns Hopkins University, and I'm a CFA charterholder.

Here I'm collecting different projects in economics, data science, machine and deep learning and finance.

Notebook

Udacity: Classify Images with a Deep Neural Network in TensorFlow

A Udacity assignment to build an image classifier with TensorFlow (link to github).

Udacity: Build a Predictive Neural Network from Scratch

A Udacity assignment to build a neural network from numpy with python (link to github).

Pulling Out of The Paris Accord

Collaboration on economics and data of climate change trends (external link).

Handwritten Digits with KNN and Random Forests

An analysis of the classic MNIST digit recognition problem with R and Caret.

Slum Clearance and Economic Outcomes

A replication of a linear model with instrumental variables in R.