The Impact of Lockdown on Public Sentiment in Bermuda
Using Twitter data to investigate changes in public sentiment as a result of the COVID-19 lockdown in Bermuda. Tools: Tweepy, TextBlob, NLTK, Deepnote, Plotly, Dash, Heroku.
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Using Twitter data to investigate changes in public sentiment as a result of the COVID-19 lockdown in Bermuda. Tools: Tweepy, TextBlob, NLTK, Deepnote, Plotly, Dash, Heroku.
April highlights: LeetCode 30 Day Challenge, Big Data, Docker, Pluralsight, Secret Project, Social Media, Virtual ODSC, Lex Fridman’s AI Reading Group.
March highlights: Conway’s Game of Life in Python, Portfolio Update, MNIST, Deep Learning, Big Data, Squirrel GAN, NLP Preprocessing.
Building a Python CLI to simulate Conway’s Game of Life.
A deep dive into neural network hyperparameters: batch size, learning rate, activation functions, number of layers.
Initial analysis and visualization of the Kaggle Disaster Tweets dataset using NLTK and Seaborn.