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Artificial Intelligence
Unleashing the Power of Multiple Timeseries Forecasting ππ‘ Create forecasts with Stats & ML methods. Stats Methods with StatsForecast ML Methods with MLForecast Forecast plots Validate Modelβs Performance Plot CV Aggregate sales forecasts for all items Evaluate forecasts per store_item and CV window Distribution of errors Select Best Model Per Item_id & Cross Validation Fold We will find the perfect performing model per store_item (=item_id), evaluation metric & cross validation fold In what number of cross validation fold & metric is each model over performing best? What’s the perfect model for store_item=β1_1″ sales forecasting? Visualize the forecasts of the perfect model for unique_id == β1_1β Visualize AutoETS forecasts for more unique_ids Visualize XGBRegressor forecasts for more unique_ids Sources
admin
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June 21, 2023
2
Artificial Intelligence
Who will win IPL 2023?? Data Where is the code? 1. Data cleansing and formatting 2. Exploratory data evaluation 3. Feature engineering and selection 4. Compare several machine learning models on a performance metric 5. Performing hyperparameter tuning on the perfect model 6. Evaluate the perfect model on the testing set In accordance with this model, Rajasthan Royals is prone to win IPL 2023
admin
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May 4, 2023
1