bike sharing predictions, here’s the interesting stuff you can find inside:
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Random Forest hyperparameter optimization using GridSearch
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gathering more weather data using meteostat
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testing various regression models, KernelRidge, ElasticNet, Lasso, few gradient boosting models, MLP
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small steps into stacking models:
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averaging predictions of multiple models
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using neural network as a meta model
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plus a few nice visuals
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feedback always welcome
https://app.dataquest.io/c/22/m/213/guided-project%3A-predicting-bike-rentals/7/next-steps
hmm. says the file is too big to upload it to post (4mb limit, well that’s a first!)