Alexander Lago 's repositories
AlexanderLago
Config files for my GitHub profile.
Amazon-Data-Project
Project where I pull costs and taxes charged to me by my Amazon account using Python
CMM-Team-Ranger
Cover-My-Meds project where I collaborate with a team to produce a model to predict copay of medicine given insurance, drug, pharmacy, diagnosis, and many other factors.
Deep-Neural-Networks-To-Approximate-a-Function
Project using Tensor flow, Neural Networks, and Deep Learning to Approximate a function. This is a dive into the basics of Neural Networks, a Machine Learning Technique.
FRED-Returns-Mini-Project
A simple project of using MATLAB to import Federal Reserve Unemployment Data and graphing a scatter plot to show Okun's Law of Unemployment
Function-Approximation-Optimization-Problem
This project involves approximating a function to solve an optimization problem. Functions can often be costly to write in code. Approximating a function can sometimes save time and money. Especially when the code is iterated many times.
Logistic-Regression-Vs-Support-Vector-Machine-Comparison
When should we use Support Vector Machines Versus Logistic Regression for Classification? I compare both when there are a different number of predictors (p) and a different percentage of Trained (m) and Tested (1000-m) data. The data is credit card information and likelihood to default on loans. I seek to determine who will be likely to default for a loan and reject them and vice versa.
Real-GDP-per-Capita-Detrending-and-Analysis
Project where I import Real US GDP per capita since 1947-2021. I change the data to log and I detrend it to show a more accurate representation without the trends. I do this with linear detrending. I also analyze the cyclical component of the GDP.
Simple-Linear-Regression-Analysis-of-Big-Mac-Prices-on-GDP-per-Capita
In this project I conducted a simple linear regression of Big Mac Prices on GDP Per Capita. I downloaded data on GDP Per Capita and Big Mac prices from every country in the world from 2011 to 2021. Included in the code is an analysis on my findings. I used Pandas, Numpy, Matplotlib, and sklearn imported into Python.
Wealth-Effect-on-Labor-Supply-
In this project I use Lagrangians to find labor supply. I use for loops, various functions, and various programming techniques to get a final result
Helicopter-Escape-Data-Project
Using data from Wikipedia to import data on helicopter escapes. Seeing how many happen per year, which year had the most escapes, and which country had the most escapes