pclaypoole Goto Github PK
Name: Preston Claypoole
Type: User
Bio: Experienced finance professional with BBA in Finance Economics and a boot camp certificate in FinTech.
Location: Dallas, TX
Preston Claypoole's Projects
auto_auction
Smart contract that enables users to buy and sell tokenized non-fungible assets
avant_case_study
SMU FinTech Boot Camp Homework assignment 1, Avant, LLC case study
aws
Generate a report of what cryptocurrencies are available on the trading market and how they can be grouped using classification.
blockchain
Proof of Authority Development Chain
cryptoright
Cryptoright Blockchain Copyright System
dataanalysis
Historical stock prices used in Machine Learning to predict future values.
financial-planning
Assess Credit Union members monthly personal finances, and forecast a reasonability good retirement plan based on cryptocurrencies, stocks, and bonds.
fire_flood_analysis
Determine fire/flood risks and determine profitable structure for company
lstm-stock-predictor
Use deep learning recurrent neural networks to model bitcoin closing prices.
machine_learning
Evaluating credit risk
martian_market
Crowd Funding New Colony on Mars
multi_blockchain_wallet
get 2 coins working: Ethereum and Bitcoin Testnet
natural_language_processing
Natural Language Processing, Cloud Generation, Named Entity Recognition
portfolio
Determine which portfolio is performing the best across many areas: volatility, returns, risk, and Sharpe ratios.
profitsplitter
We will use solidity to generate an easy way to pay employees with cryptocurrency accounts.
python_bank_ramen
Basic Financial Analysis using Python
rental_analysis
The goal of this dashboard is to provide charts, maps, and interactive visualizations that help customers explore the data and determine if they want to invest in rental properties in San Francisco.
sql-suspicious-transactions
Analyze historical credit card transactions and consumption patterns in order to identify possible fraudulent transactions.
time_series_analysis
Time Series and Linear Regression analysis based on YEN and USD movements
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