Machine Learning, Propensity Score, & Segmentation Modeling

Predictive Analytics    |    Intermediate
  • 12 videos | 46m 41s
  • Includes Assessment
  • Earns a Badge
Rating 3.5 of 19 users Rating 3.5 of 19 users (19)
Both supervised and unsupervised machine learning techniques are at the forefront of the predictive analytics and data mining industry. Discover machine learning features and tools, propensity scoring, and segmentation modeling.

WHAT YOU WILL LEARN

  • Identify key features of machine learning
    Identify key tools used for machine learning and the high-level process steps
    Identify key features of deep learning
    Distinguish between supervised and nonsupervised learning methods
    Identify key features of ensemble techniques
    Measure ensemble error rate
  • Recognize key features of the propensity score
    Identify key features of propensity score matching
    Estimate treatment effects
    Apply propensity score matching
    Identify key features of segmentation modeling
    Distinguish between exploratory data analysis and cluster segmentations

IN THIS COURSE

  • 5m 42s
    Learn how to identify key features of machine learning. FREE ACCESS
  • 4m 53s
    In this video, you will learn how to identify key tools used for machine learning and the high-level process steps. FREE ACCESS
  • Locked
    3.  Deep Learning
    2m 25s
    Learn how to identify key features of deep learning. FREE ACCESS
  • Locked
    4.  Supervised vs. Unsupervised Methods
    3m 49s
    Find out how to distinguish between supervised and unsupervised learning methods. FREE ACCESS
  • Locked
    5.  Ensemble Techniques for Machine Learning
    5m 31s
    In this video, you will learn how to identify key features of ensemble techniques. FREE ACCESS
  • Locked
    6.  Ensemble Performance Considerations and Metrics
    3m 7s
    In this video, find out how to measure the ensemble error rate. FREE ACCESS
  • Locked
    7.  Propensity Score
    3m 13s
    Upon completion of this video, you will be able to recognize key features of the propensity score. FREE ACCESS
  • Locked
    8.  Propensity Score Matching
    4m
    During this video, you will learn how to identify key features of propensity score matching. FREE ACCESS
  • Locked
    9.  Estimating Treatment Effects
    2m 52s
    In this video, you will learn how to estimate treatment effects. FREE ACCESS
  • Locked
    10.  Example of Propensity Score Matching
    2m 36s
    In this video, learn how to apply propensity score matching. FREE ACCESS
  • Locked
    11.  Overview of Segmentation Modeling
    3m 15s
    In this video, you will learn how to identify key features of segmentation modeling. FREE ACCESS
  • Locked
    12.  EDA and Cluster Segmentation Modeling
    5m 19s
    Learn how to distinguish between exploratory data analysis and cluster segmentation. 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

Book Ensemble Methods for Machine Learning
Course Fundamentals of AI & ML: Advanced Data Science Methods
Rating 4.4 of 136 users Rating 4.4 of 136 users (136)
Book Privacy-Preserving Machine Learning

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Course Model Development, Validation, & Evaluation
Rating 4.5 of 35 users Rating 4.5 of 35 users (35)
Course Key Statistical Concepts
Rating 4.5 of 173 users Rating 4.5 of 173 users (173)
Course Time Series Modeling
Rating 4.0 of 87 users Rating 4.0 of 87 users (87)