In this project, I carry out a case study of factors impacting US Home Price and build a data science model.
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Updated
Jul 27, 2024 - Jupyter Notebook
In this project, I carry out a case study of factors impacting US Home Price and build a data science model.
The project aims to analyze and visualize economic indicators, including the S&P 500 index and unemployment rates across U.S. states, using data retrieved from the FRED API.
Machine learning driven algorithmic trading ideas through Tradier API
Similar to https://github.com/kylebinder-public/daily_market_update: here are scripts (.py, .bat) for automated sending of weekly emails of economic statistics that interest me. ETL mostly from https://fred.stlouisfed.org/
Foreign Data Wrapper for FRED
We created an interactive web application in Python for determing the best states to live in based on user preferences. We sourced data from the FRED Economic Database with custom API wrappers and integrated it into a Python Dash Application framework. Users can filter states, data catageories and even apply weights to parameters for use in the …
FBProphet prediction for 2020 Future Unemployment rate by effect of COVID-19
Model objects for FRED® API client
Analysis of macroeconomic and CO2 emissions data from FRED and World Bank APIs using pandas data reader.
Interfaces and utilities for FRED® API client
This is an End to End MLOps Integrated implementation of my previous app Home Price Index Predictor.
DEM assignment.
I prepared a modified version of the Taylor Rule to measure inflation at risk for the U.S. economy using R programming.
Using the quantmod R package
OpenAPI Specification (YAML and JSON) for the Federal Reserve Economic Data (FRED) API
Trading Data Interface, a generic interface to collect trading data from multiple sources/API's.
Financial Data Analysis with FRED API - USA Federal Reserve Economic Data
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