Posts
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Supercharging customer touchpoints with uplift modeling
Technical post, 33 minute read
An introduction to a powerful way of predicting individual treatment effects, with synthetic data in Python using pandas and XGBoost. -
Designing an energy arbitrage strategy with linear programming
Technical post, 30 minute read
How to use a classic mathematical optimization technique to guide the operation of a grid-connected battery and maximize profit. -
Visualizing a balance history from transaction data using pandas and Plotly
Technical post, 18 minute read
A practical post on data wrangling and visualization that could be applied in a professional setting, or to your personal finances. -
Why decision trees are more flexible than linear models
Conceptual post, 7 minute read
This blog post will examine a hypothetical dataset of website visits and customer conversion, to illustrate how decision trees are a more flexible mathematical model than linear models such as logistic regression. -
Overfitting, underfitting, and the bias-variance tradeoff
Technical post, 25 minute read
Explore these foundational machine learning concepts and learn how to use regularization to leverage the bias-variance tradeoff to improve model performance, through an illustrative example of polynomial fitting in Python and scikit-learn.
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