Time Series Reshaping for Deep Learning in Databricks
Using Databricks SQL, preparing time series data for deep learning training can be straightforward.
ReadTime Series Exploratory Data Analysis
Exploring time series autocorrelations and change points can help familiarize with potential breakdowns in approaches. In this article, I review testing for stationarity, seasonal decomposition, autocorrelation, and change point detection.
ReadSpeed up Linear Regression with Matrix Math
Linear Regression is an extremely popular and useful model. It's used by Excel Gurus and Data Scientists alike - but how can we fit lots of regression models quickly? This article walks through various ways to fit a linear regression and speed things up with some Linear Algebra.
ReadClassification with Imbalanced Data
Building classification models on data that has largely imbalanced classes can be difficult. Using techniques such as oversampling, undersampling, resampling combinations, and custom filtering can improve accuracy.
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