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Name: Jack Carter
Type: User
Bio: A political economy graduate with a passion for working with, gaining a deeper understanding from, and making better decisions because of data.
Name: Jack Carter
Type: User
Bio: A political economy graduate with a passion for working with, gaining a deeper understanding from, and making better decisions because of data.
Uses the OECD API, SQL and Python to demonstrate that Iceland took the most action following the 2008 financial crisis.
Investigates whether how hard you work translates into how rich you are with multiple regression analysis.
Examines recent changes in the interconnectedness of the latest 300,000 Twitter followers of US and UK political parties.
Analyzes cultural differences by applying k-means clustering to Hofstede's cultural dimensions data.
Investigates political bias among the four major US broadcasters, ABC, CBS, FOX and NBC, based on Twitter data.
Explores the affect of being landlocked on economic development with multiple regression analysis.
Uses the World Bank API, SQL and Python to show that the relative cost of doing business in Latin America is falling.
A simulation that shows you're better off investing your money in the stock market than a pension fund over the long haul.
This notebook attempts to address travel fears by providing information about a range of common travel related worries.
A website to introduce myself and provide a convenient way to display my data science work all in one place.
Quantifies the number of New York Times (NYT) articles mentioning Ukraine 6 months after the conflict.
Finds the best neighborhoods to live in London based on the importance placed on rent, green spaces, travel and safety.
Seeks to determine which countries in Latin America are the most dangerous based on data from the World Bank.
A notebook showing that a number of simple ML features can be extracted from text data before using more advanced techniques.
Demonstrates how careful selection can be more useful than including everything when making a punctuation feature.
Highlights trade-offs and optimizations to take into account when using sentence encoder models to predict essay scores.
Experiments with different methods in an attempt to create a more accurate spelling mistake ML feature.
Outlines a series of optimization experiments to take into account when using TF-IDF to predict essay scores.
Shows how a negative correlation between unique words and essay scores is actually due to spelling mistakes.
Assesses the effectiveness of various neural networks on a small terrorism headlines data set.
Analyzes anti-authority sentiment on 1 million tweets between Anglosphere and Sinosphere Twitter users.
A Python simulation demonstrating how the Martingale strategy provides false hope to Roulette players.
Visualizes the distribution of different violence risks in the emerging world based on scraped local headlines.
A student debt simulation showing that my repayments will likely be not much more than the original amount.
This project show how you can use LLMs to learn about virtually any topic, including large language models.
Analyzes Saint James Hostel's cancellations from Jan to June 2023 to assess their financial impact and uncover customer demographics.
Provides Saint James hostel with a dashboard style overview of key metrics from 4,000 check-outs between Jan and Aug 2023.
Creates a pipeline that transforms 356 of Saint James hostel's reservations so that they can be uploaded to Little Hotelier.
Analyzes Saint James Hostel's no show bookings from Jan to June 2023 to assess their financial impact and uncover customer demographics.
Creates a demand based variable price algorithm for Saint James hostel with the ability to tune various parameters.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.