David Adams's repositories
AutosRUs
Using statistics, hypothesis testing, and the R computer programming language, I analyzed a series of datasets from the automotive industry.
codecademy
a repo to put my codecademy projects
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.
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.
JHUECON
A repository to showcase my work in the Johns Hopkins Economics program.
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
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
multipleWindow3dScene
A quick example of how one can "synchronize" a 3d scene across multiple windows using three.js and localStorage
Oracle-Acquisition-SunSystems-JHU
Presentation of Oracle acquiring Sun Systems.
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.
solar-system-science-fair
This repository will be a solar system recreated with code to redo my 5th grade science fair project.
stocks-analysis
Columbia Data Analytics Module 2 - Understanding VBA with Microsoft Excel - Helping Steve analyze the performance of multiple green-energy stocks.
students
Student Data Application based on Django.
SuperTinyIcons
Under 1KB each! Super Tiny Icons are miniscule SVG versions of your favourite website and app logos
surfs_up
Columbia Data Analytics Boot Camp Module 10 - Weather data and some ice cream assumptions taken into account
World-Weather-Analysis
Using Python and APIs to give customers a tailored choice in choosing their city destination vacation.