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
  • Locked
    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
  • Locked
    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
  • Locked
    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
  • Locked
    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
  • Locked
    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
  • Locked
    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
  • Locked
    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
  • Locked
    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
  • Locked
    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
  • Locked
    12.  Course Summary
    2m 11s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course Exploring the Depths of Large Language Models in Generative AI
Rating 3.8 of 5 users Rating 3.8 of 5 users (5)
Course Fundamentals of AI & ML: Advanced Data Science Methods
Rating 4.4 of 136 users Rating 4.4 of 136 users (136)
Course Snowpark ML APIs and the Model Registry
Rating 5.0 of 2 users Rating 5.0 of 2 users (2)