Arzu Isik Topbas's repositories
A_Whale_Off_the_Portfolio
Quantitative analysis techniques with Python and Pandas to determine which portfolio is performing best across many areas: volatility, returns, risk, and Sharpe Ratios.
A_Yen_for_the_Future
The time-series tools (Time Series Forecasting and Linear Regression Modeling ) in order to predict future movements in the value of the Japanese yen versus the U.S. dollar.
Automate-Your-Day-Job-with-Python
Python script for analyzing the financial records of the company. Analysis to the terminal and export a text file with the results.
Fake-News-Detection
I build a model that categorizes news as fake and real news using deep learning tools using a text-based dataset.
Financial_Planning
I created two financial analysis tools by using APIs as part of the technical solution. The first was a personal finance planner that allowed users to visualize their savings composed by investments in shares and cryptocurrencies to assess if they have enough money as an emergency fund. The second tool is a retirement planning tool that use the Alpaca API to fetch historical closing prices for a retirement portfolio composed of stocks and bonds, then run Monte Carlo simulations to project the portfolio performance at 30 years.
Housing-Real-Estate-Analysis
Identify the variables affecting house prices,Create a linear model that quantitatively relates house prices with variables, and the accuracy of the model
LSTM_Stock_Predictor
Deep learning recurrent neural networks to model bitcoin closing prices. use the FNG indicators to predict the closing price.
Pythonic_Monopoly
A dashboard of interactive visualizations to help customers explore the data.
FinTech-Case-Study
FinTech research skills by accessing reports, publications, and online resources that FinTech professionals use to evaluate the industry.
Looking_for_Suspicious_Transactions
Analyze the data to identify possible fraudulent transactions by using ERD, PostgreSQL, ERD and Python.
Risky_Business
Machine-learning models to predict credit risk using free data from LendingClub. Imbalanced-learn and Scikit-learn libraries to build and evaluate models by using Resampling and Ensemble Learning
Tales_from_the_Crypto
Natural language processing to understand the sentiment in the latest news articles featuring Bitcoin and Ethereum.
The_Power_of_the_Cloud_and_Unsupervised_Learning
Unsupervised learning and visualization
UGFraud
An Unsupervised Graph-based Toolbox for Fraud Detection