Posts tagged hyper-parameter tuning
Keep Analytics, Machine Learning, and Artificial Intelligence to Simple Use-Cases with Collective Vantage
Keep Analytics, Machine Learning, and Artificial Intelligence to Simple Use-Cases with Collective Vantage

Conaxon takes the reader through a simple sales forecasting project for a retail store. We cover data cleaning (pandas), feature engineering (encoding categorical/cyclical features), building a base GradientBoostedRegressor Model (Sklearn), and hyper-parameter tuning (GridSearchCV, RandomizedSearchCV, KFold).

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ArticlesTyler BetthauserConaxon LLCSklearn, graident boosted algorithms, GradientBoostedRegressor, gridsearchcv, RandomizedSearchCV, Sales Forecast, Random Forest, Encoding, MinMaxScaler, Pandas, seaborn, matplotlib, hyper-parameter tuning, Machine Learning, artificial intelligence, Business Intelligence, Small Business, Micro Business, Collective Vantage