Using AI to Analyze COVID Headlines Over Time

We’re coming up on the second anniversary of the COVID-19 pandemic in America. There’s been a bunch of different variants, the CDC has shifted its stance at least 20 times, and the mask and vaccine protests rage on. Given all of this, I thought it would be interesting to analyze what the news has beenContinue reading “Using AI to Analyze COVID Headlines Over Time”

Using NLP to Get Insights from Twitter

I’m interested in analyzing the Tweets of a bunch of famous people so I can learn from them. I’ve built a program that will do this by pulling a list of recent tweets and doing some NLP on them. In this post we’re going to go over: Get all the Text for a Search TermContinue reading “Using NLP to Get Insights from Twitter”

Build a Recurrent Neural Network from Scratch in Python 3

Recurrent Neural Networks (RNNs) are a neural network architecture used for predicting sequence data. The most well known application of RNNs is in the field of Natural Language Processing. However, due to the complexity of actually implementing RNNs on text data (converting to one hot encoding, removing stopwords, and more) we will cover that inContinue reading “Build a Recurrent Neural Network from Scratch in Python 3”

Neural Network Code in Python 3 from Scratch

This is for the actual machine learning enthusiasts who want to know what the code for a neural network in Python looks like. In this post we’re going to build a fully connected deep neural net (DNN) from scratch in Python 3. Before we get started, I just want to say that you don’t needContinue reading “Neural Network Code in Python 3 from Scratch”