Course Outline

Introduction

  • Overview of Weka
  • Understanding the data mining process

Getting Started

  • Installing and configuring Weka
  • Understanding the Weka UI
  • Setting up the environment and project
  • Exploring the Weka workbench
  • Loading and Exploring the dataset

Implementing Regression Models

  • Understanding the different regression models
  • Processing and saving processed data
  • Evaluating a model using cross-validation
  • Serializing and visualizing a decision tree model

Implementing Classification Models

  • Understanding feature selection and data processing
  • Building and evaluating classification models
  • Building and visualizing a decision tree model
  • Encoding text data in numeric form
  • Performing classification on text data

Implementing Clustering Models

  • Understanding K-means clustering
  • Normalizing and visualizing data
  • Performing K-means clustering
  • Performing hierarchical clustering
  • Performing EM clustering

Deploying a Weka Model

Troubleshooting

Summary and Next Steps

Requirements

  • Basic knowledge of data mining process and techniques

Audience

  • Data Analysts
  • Data Scientists
 14 Hours

Delivery Options

Private Group Training

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  • Pre-course call with your trainer
  • Customisation of the learning experience to achieve your goals -
    • Bespoke outlines
    • Practical hands-on exercises containing data / scenarios recognisable to the learners
  • Training scheduled on a date of your choice
  • Delivered online, onsite/classroom or hybrid by experts sharing real world experience

Private Group Prices RRP from £3800 online delivery, based on a group of 2 delegates, £1200 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.

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