It’s an odd time for the United States real estate market. On one hand, you have all-time high (or nearly all-time high) housing prices and “Finding the best locations in North Carolina’s Research Triangle to buy a home using Zillow data”
Tag: Data Wrangling
Merits and flaws of the “Moneyball” methodology in sports
Touted as one of the most revolutionary concepts in the history of baseball, the Moneyball method paved the way for relatively smaller teams to level “Merits and flaws of the “Moneyball” methodology in sports”
Created a dashboard on Streamlit using Python for stock comparison and fundamental analysis
Stocks had reached record highs in November of 2021 with the S&P500 and NASDAQ indexes hitting 4,818 and 16,212 respectively. However, the euphoria was short-lived “Created a dashboard on Streamlit using Python for stock comparison and fundamental analysis”
An introduction to the YahooFinance Stocks API for retrieving simple stock information using Python
As someone who likes to invest in stocks and someone who loves to use Python, I have experimented with several tools and APIs in order “An introduction to the YahooFinance Stocks API for retrieving simple stock information using Python”
Creating a data strategy for sustainable investing via an interactive dashboard using Plotly and Dash
Sustainable investing is a fairly recent concept. With rising global temperatures, disappearing rainforests and an increase in carbon emissions, the past decade or so has “Creating a data strategy for sustainable investing via an interactive dashboard using Plotly and Dash”
Picking the right movie to watch: Part II (using the simplest decision tree model)
Following up from the my previous attempt to model how best to pick a movie, this new iteration takes a very different approach. In the “Picking the right movie to watch: Part II (using the simplest decision tree model)”
Analyzing collision events in Seattle and predicting severe occurrences
Why do we care about severe collisions? The safety of drivers, passengers, pedestrians and property is an ever-growing concern when it comes to the operation “Analyzing collision events in Seattle and predicting severe occurrences”