Using BigML: Getting Hands-on with BigML

Machine Learning 2020    |    Beginner
  • 11 Videos | 1h 20m 56s
  • Includes Assessment
  • Earns a Badge
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BigML not only provides ease-of-use, but it also offers flexibility in how you work with your data. This course serves as a hands-on introduction to BigML and its vast array of features. You'll start by exploring the different ways data can be loaded into the platform and how these can be transformed into datasets to train and test a machine learning model. You'll gain practical experience with some of the tools available to help you better understand your data - from histograms and scatterplots to visualizations of value distribution. Moving on, you'll build a fundamental classification model, a decision tree, which takes employee details and predicts whether they'll stay or leave in the next year. Finally, you'll investigate some possible configurations for this model.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    recognize the features available in BigML to load data and train a machine learning model
    load data from a variety of sources into BigML in order to train and evaluate machine learning models
    organize your BigML resources into projects, such as data sources, datasets, and models
    create a dataset out of a data source and analyze the different fields in the data
    visualize relationships between various fields in a dataset
  • split and sample a dataset, which can then be used to train and test a model
    build a classification model that uses a decision tree and recognize how this performs classification
    illustrate the process involved in performing classification when a decision tree model is used
    customize a decision tree model when performing classification
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 32s
    UP NEXT
  • Playable
    2. 
    The BigML Interface
    8m 32s
  • Locked
    3. 
    Loading Data into BigML
    8m 2s
  • Locked
    4. 
    Creating a Project from BigML Resources
    9m
  • Locked
    5. 
    Creating and Analyzing Datasets
    8m 45s
  • Locked
    6. 
    Examining Relationships in Datasets
    9m 21s
  • Locked
    7. 
    Transforming a Dataset
    7m 48s
  • Locked
    8. 
    Building a Decision Tree Model
    8m 44s
  • Locked
    9. 
    Analyzing a Decision Tree
    5m 58s
  • Locked
    10. 
    Configuring a Decision Tree
    6m 9s
  • Locked
    11. 
    Course Summary
    1m 37s

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