Tools and Techniques
Part 2 of a great introduction to stock market analysis. This part covers how to devise a moving average crossover strategy, backtesting, and benchmarking.
Here's a good look at how data scientists work versus the engineering teams that support them. They're solving different problems so their workflows are different and getting them to understand each other is key for bringing data science applications into production.
This tool provides a simple interface for editing photos with generative neural networks. Check out the video! This is the future in photo editing.
traces is a Python library for unevenly-spaced time series analysis. traces makes it easy to write readable code to munge, explore, and transform unevenly-spaced times series data to evenly-spaced representations.
Analysis of 27 seasons of Simpsons data reveals the show’s most significant side characters, a pattern of patriarchy, declining TV ratings, and more. Includes a code repo and links to the data.