Command line script and Python library to work with time-series data.
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Updated
Apr 1, 2026 - Python
Command line script and Python library to work with time-series data.
Given two 2D arrays (grids), perform a windowed linear regression between the two. Aim: removal of correlated component between two variables.
A collection of substantial projects I completed for the CS156 Machine Learning course.
Simulates a rolling window strategy that continuously optimizes and deploys the bot with updated thresholds. This project serves as the backtester for the original strategy.
Empirical forecasting of the equity risk premium using historical financial predictors and time-series regression methods.
SQLite SQL practice project covering daily metrics, date spine, running totals, rolling windows, and late-arriving data patterns (GROUP BY + window functions).
Sliding window rate limiter implemented in Golang/ Go using redis
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