Snowflake Forecasting Models and the AI & ML Studio

Snowflake 2024    |    Expert
  • 12 videos | 1h 28m 12s
  • Includes Assessment
  • Earns a Badge
Snowflake ML functions support forecasting models that share many characteristics with anomaly detection models. In addition, the new AI & ML Studio provides a point-and-click interface for building models for forecasting, classification, and anomaly detection. In this course, learn how to create and use Snowflake forecasting models, build a time series forecasting model with ML functions, and enhance your time series forecasting models. Next, examine how to handle multiple time series concurrently, use Snowflake AI & ML Studio for forecasting, and generate SQL code to build and execute a time series forecasting model. Finally, discover how to use Snowflake AI & ML Studio for classification tasks, generate and execute SQL code to invoke ML classification functions, and evaluate classification model output.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline the steps for training a forecasting model and using it for prediction
    Train a model for time series forecasting using ml functions and examine the effects of changing the prediction_interval
    Invoke the explain_feature_importance and show_evaluation_metrics on a time series forecasting model and analyze the results
    Extend time series forecasting models by providing exogenous explanatory variables
    Utilize snowpark ml functions for multi time series forecasting
  • Generate sql code that builds and invokes a time series forecasting model using the ai & ml studio wizard for forecasting
    Analyze and execute the sql code generated by the ai & ml studio from the forecasting workflow
    Generate sql code that invokes ml classification functions using the ai & ml studio wizard for classification
    Analyze and execute the sql code generated by the ai & ml studio from the classification workflow
    Analyze evaluation metrics, global evaluation metrics, and feature importance scores from the output of models created by snowflake ai & ml studio
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 58s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 9m 56s
    Upon completion of this video, you will be able to outline the steps for training a forecasting model and using it for prediction. FREE ACCESS
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    3.  Utilizing ML Functions for Time Series Forecasting
    12m 28s
    Discover how to train a model for time series forecasting using ML functions and examine the effects of changing the prediction_interval. FREE ACCESS
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    4.  Analyzing Model Feature Importance and Evaluation Metrics
    6m 40s
    During this video, you will learn how to invoke the EXPLAIN_FEATURE_IMPORTANCE and SHOW_EVALUATION_METRICS on a time series forecasting model and analyze the results. FREE ACCESS
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    5.  Adding Exogenous Features to Time Series Forecasting Models
    8m 23s
    In this video, find out how to extend time series forecasting models by providing exogenous explanatory variables. FREE ACCESS
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    6.  Extending Forecasting Models to Multiple Series
    7m 53s
    In this video, discover how to utilize Snowpark ML functions for multi time series forecasting. FREE ACCESS
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    7.  Utilizing Snowflake AI & ML Studio for Forecasting
    8m 3s
    Learn how to generate SQL code that builds and invokes a time series forecasting model using the AI & ML Studio wizard for forecasting. FREE ACCESS
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    8.  Analyzing Snowflake AI & ML Studio-generated SQL Code for Forecasting
    6m 6s
    During this video, discover how to analyze and execute the SQL code generated by the AI & ML Studio from the forecasting workflow. FREE ACCESS
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    9.  Utilizing Snowflake AI & ML Studio for Classification
    9m 28s
    Find out how to generate SQL code that invokes ML classification functions using the AI & ML Studio wizard for classification. FREE ACCESS
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    10.  Analyzing Snowflake AI & ML Studio-generated SQL Code for Classification
    9m 59s
    In this video, you will learn how to analyze and execute the SQL code generated by the AI & ML Studio from the classification workflow. FREE ACCESS
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    11.  Evaluating Model Output from Snowflake AI/ML Studio for Classification
    5m 8s
    Discover how to analyze evaluation metrics, global evaluation metrics, and feature importance scores from the output of models created by Snowflake AI & ML Studio. FREE ACCESS
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    12.  Course Summary
    2m 11s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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