Tutorials

Contents:

• 1. Building a Project
  • 1.1. The process of building a project consists of the following:
  • 1.2. Creating the project and bring data into the system.
  • 1.3. Understanding Data Types
  • 1.4. Establishing Relationships in Data
  • 1.5. Mapping Latitude and Longitude
• 2. Dictionaries
  • 2.1. Building Dictionaries
  • 2.2. Advanced Functions
  • 2.3. Dictionaries from Machine Learning Models
  • 2.4. Libraries
• 3. Search
• 4. Dashboards
  • 4.1. Where the Magic Happens
  • 4.2. Types of Data and Widgets
  • 4.3. Bar Widget
  • 4.4. Stacked Bar Widget
  • 4.5. Line Widget
• 5. Unstructured Text Analytics, Dashboards, and Widgets
  • 5.1. The Sentence Table
  • 5.2. Using REGEX with Terms to Find Facts
  • 5.3. Dashboards Generated from Dictionary Matches
  • 5.4. Generating a Dictionary-Based Data Field
• 6. Machine Learning
  • 6.1. Dealing with Features from Multiple Tables in a Dashboard
  • 6.2. Adding a Dictionary as a Feature
    • 6.2.1. Datasets
  • 6.3. The Problem Type.
    • 6.3.1. Understanding the Process
  • 6.4. Data Analysis
  • 6.5. Choosing the Columns
  • 6.6. Fixing Missing Values
  • 6.7. Data Normalization
  • 6.8. Balanced Datasets
  • 6.9. Convert Categorical Columns
  • 6.10. Calculating Recommended Features
  • 6.11. Verify Dataset Configuration
    • 6.11.1. The Algorithms
  • 6.12. Running Models
    • 6.12.1. Classification Systems
    • 6.12.2. Decision Trees
    • 6.12.3. Regression Problems
    • 6.12.4. Classification Based on Full Text
    • 6.12.5. Refine Dictionaries Using Exiting Text Datasets