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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