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Predicting Reddit News Sentiment with Naive Bayes and Other Text Classifiers
Learn how to predict the sentiment of news headlines mined from Reddit
Introduction to Word Embeddings: Problems and Theory
Making sense of Word Embeddings, how they solve problems and help machines understand language
Sentiment Analysis on Reddit News Headlines with Python’s Natural Language Toolkit (NLTK)
Let's use the Reddit API to grab news headlines and perform Sentiment Analysis
Python for Finance, Part 3: Moving Average Trading Strategy
Expanding on the previous article, we'll be looking at how to incorporate recent price behaviors into our strategy
Python for Finance, Part 2: Intro to Quantitative Trading Strategies
Looking more into quantitative trading strategies and determining returns
Python for Finance, Part I: Yahoo & Google Finance API, pandas, and matplotlib
Learn how to use pandas to call a finance API for stock data and easily calculate moving averages
Predicting Housing Prices with Linear Regression using Python, pandas, and statsmodels
In this post, we'll walk through building linear regression models to predict housing prices resulting from economic activity.
Essential Statistics for Data Science: A Case Study using Python, Part I
Get to know some of the essential statistics you should be very familiar with when learning data science
K-Means & Other Clustering Algorithms: A Quick Intro with Python
Unsupervised learning via clustering algorithms. Let's work with the Karate Club dataset to perform several types of clustering algorithms.