Trend, seasonality, honest baselines and time-based testing, using NASA temperatures and bike rentals from the hub.
Forecasting — predicting what comes next from what came before — is one of the most common uses of data in business. This course uses two hub datasets, NASA GISTEMP global temperatures and Capital Bikeshare rentals, to cover the essentials that apply whatever tool you use.
Install with pip install pandas scikit-learn.
4 lessons · 1 hr
Look at a series before forecasting it.
Naive and seasonal-naive forecasts, and how to score them.
Time-based splits, rolling evaluation and leakage.
Lag and calendar features with a gradient-boosted model.
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Classify images with a pretrained ResNet-50 in ONNX Runtime, then adapt a pretrained network to your own categories.
Transcribe and translate audio with OpenAI's open Whisper model, handle long recordings, and measure accuracy with word error rate.
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