Last year I created a 2020 Masters predictor, published on Tableau, which (correctly!) identified Dustin Johnson as the winner in the week before the tournament (you can see the dashboard here). This year, I want to create a similar app, but keep the entire process in python by leveraging the Streamlit API.
Streamlit is an open-source Python library used to create and share custom web apps for machine learning and data science.
This is my first Streamlit app; my aim for this blog is to share the steps I took to create it, and assess how it compares to other…
Sentiment analysis and other forms of NLP have massively grown in popularity over the past few years, and non more so than in Python. Whilst I’ve been running sentiment analysis and other text analytics across other platforms for a number of years, I wanted to expand my learning and explore running it in Python, which is a language I’m newer to.
Hopefully, this can be used as a guide for anyone who is also relatively new to sentiment analysis.
It’s sometimes pointed out to me that I’m quite a negative person. Not to sound negative, but I strongly disagree.
Back in 2019, I built an app that quickly gave me and my friends a list of the ‘best’ places to meet up. This factored in the type of place, each person’s travel time, reviews, price etc. Whilst at the time I used it as ‘a bit of fun’ and a useful foray deeper into using APIs in spatial analytics, I’m hoping it might be more useful than ever as we enter a ‘new normal’, as a means to minimize travel for everyone and find new and less crowded places to meet.
This was written alongside my development in Alteryx…
Data science, finance, programming, and music.