No-code ML with RapidMiner: Time-series Forecasting & Market Basket Analysis

RapidMiner 9.9+    |    Intermediate
  • 16 videos | 1h 43m 20s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 1 users Rating 5.0 of 1 users (1)
Time series forecasting uses data collected over periodic intervals to analyze how the variable changes over time. Time series analysis is often used for forecasting problems such as demand forecasting and revenue forecasting. In this course, discover how time series analysis works and how time series models such as the autoregressive integrated moving average (ARIMA) model can help forecast future values of time-varying data using historical values. Next, visualize and explore time series data using windowing, differencing, moving averages, and time series decomposition. Then fit a function, a seasonal component model, and an ARIMA model on this data for forecasting future values. Finally, use association rule learning for market basket analysis to analyze transaction data from a grocery store and perform association rule learning on this data to figure out what items are frequently bought together. When you are finished with this course you will have the skills to use RapidMiner for time-series forecasting and market basket analysis.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Outline what time series analysis is used for
    Load data and view statistics
    Decompose time series data into trend, seasonal, and remainder components
    Extract attributes and visualize data
    Perform windowing on data
    Visualize time series differencing
    Create and visualize moving averages
  • Forecast time series data with function and seasonal components
    Forecast time series data using autoregressive integrated moving average (arima)
    Validate arima forecasts
    Outline what market basket analysis is used for
    Visualize data using word clouds and bar charts
    Prepare data for market basket analysis
    Create association rules on transaction data
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 6s
    In this video, we will discover the key concepts covered in this course. FREE ACCESS
  • 9m 22s
    Upon completion of this video, you will be able to outline what time series analysis is used for. FREE ACCESS
  • Locked
    3.  Loading and Preparing Data
    6m 4s
    During this video, you will learn how to load data and view statistics. FREE ACCESS
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    4.  Performing Time Series Decomposition
    8m 14s
    Discover how to decompose time series data into trend, seasonal, and remainder components. FREE ACCESS
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    5.  Generating Attributes and Visualization
    5m 21s
    In this video, find out how to extract attributes and visualize data. FREE ACCESS
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    6.  Performing Windowing Operations
    7m 16s
    After completing this video, you will be able to perform windowing on data. FREE ACCESS
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    7.  Performing Time Series Differencing
    7m 4s
    During this video, discover how to visualize time series differencing. FREE ACCESS
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    8.  Performing Moving Average Filtering
    4m 54s
    Find out how to create and visualize moving averages. FREE ACCESS
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    9.  Forecasting Using a Function and the Seasonal Component
    6m 3s
    In this video, you will learn how to forecast time series data with function and seasonal components. FREE ACCESS
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    10.  Forecasting Using an ARIMA Model
    6m 58s
    Upon completion of this video, you will be able to forecast time series data using autoregressive integrated moving average (ARIMA). FREE ACCESS
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    11.  Validating Forecasts for the ARIMA Model
    10m 29s
    Learn how to validate ARIMA forecasts. FREE ACCESS
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    12.  Association Rule Learning
    7m 2s
    After completing this video, you will be able to outline what market basket analysis is used for. FREE ACCESS
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    13.  Loading and Visualizing Data
    4m 36s
    In this video, discover how to visualize data using word clouds and bar charts. FREE ACCESS
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    14.  Preparing Transaction Data
    5m 48s
    During this video, find out how to prepare data for market basket analysis. FREE ACCESS
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    15.  Creating Association Rules
    9m 46s
    In this video, learn how to create association rules on transaction data. FREE ACCESS
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    16.  Course Summary
    2m 16s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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