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autosrus

Using statistics, hypothesis testing, and the R computer programming language, I analyzed a series of datasets from the automotive industry.

banking-gui

codecademy

a repo to put my codecademy projects

corporate-finance

creditrisk

Columbia Data Analytics Boot Camp - Module 17 - Supervised Machine Learning and Credit Risk - In this module, I used Python to build and evaluate several machine learning models to predict credit risk. Being able to predict credit risk with machine learning helps banks and financial institutions predict anomalies, reduce risk cases, monitor portfolios, and provide recommendations on what to do in cases of fraud.

cryptos

Columbia Data Analytics Boot Camp - Module 18 - Unsupervised Machine Learning and Cryptocurrencies - Used unsupervised machine learning techniques to analyze cryptocurrency data.

datacamp-python

All my datacamp learning in python goes here.

davidatoms

dc-sharpe-ratio

election-audit

Columbia Data Analytics Module 3 - Helping analyze and audit a congressional election in Colorado with Python 3.7.6.

github-slideshow

A robot powered training repository :robot:

github-upload

kickstarter-analysis

Columbia Data Analytics Boot Camp Module 1 - Microsoft Excel - Performing analysis on Kickstarter data to uncover trends.

ltcwbb

I just downloaded learn to code with baseball by Nathan Braun!

mapping-earthquakes

Columbia Module 13 - Mapping Earthquakes using JS and learning Git essentials

markdown-portfolio

mask_mandates_adherence_attitudes

mission-to-mars

Columbia Data Analytics Boot Camp Module 10 - Scrapping data from NASA and store it in a database

modern-time-series-forecasting-with-python

Modern Time Series Forecasting with Python, published by Packt

movies-etl

Columbia Module 8 - Movies Data Extract, Load, and Transform

movies-extract-transform-load

multiplewindow3dscene

A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage

neuralnetworksnonprofit

Columbia Data Analytics Boot Camp - Module 19 - Neural Networks and Deep Learning Models - Created a deep-learning neural network to analyze and classify the success of charitable donations.

nycitibike

Columbia Data Analytics Module 14 - Using Tableau, this project will present a business proposal for a bike-sharing company.

pewlett-hackard-hr-analysis

Columbia Data Science Bootcamp Module 7 - Using Python and SQL - Help an employee of Pewlett Hackard effectively and accurately run through human resource operations.

plotly-and-bb-diversity

Using Plotly.js, the purpose of this project is to create an interactive data visualization for the web.

pyber_analysis

Columbia Data Science Module 5 - Using Python and MATPLOTLIB to track sources of data for a ride-sharing company.

resumai

write scripts that automate the process of formatting cover letters and presenting your resume to employers based on experience, education, skills, and all that other stuff employers say they want.

school_district_analysis

Columbia Data Analytics Module 4 - Python, Pandas, and Jupyter Notebook - Reporting the progress and performance of schools within a school district.

simple-banking-gui-tk