The model development lifecycle starts with data exploration, then we choose features for our model, choose a baseline algorithm, and next, we try to improve baseline performance with different algorithms and parameter tuning. Sounds simple enough. But, during all of this, you’ll probably create multiple notebooks, or modify one notebook over and over again. This […]
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