alexanderlago,Alexander Lago ,github

👋 Hi, I’m @AlexanderLago
👀 I’m interested in Data Analysis, Economics, and Statistics
🌱 I’m currently learning Python, R, MATLAB and Stata
💞️ I’m looking to collaborate on Data Science Projects
📫 How to reach me [email protected]

Alexander Lago 's Projects

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.

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

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.