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The Foundation Series
The Foundation Series
  • Teaching
  • Projects
  • Teaching
🌏 Data Analytics
    Tools for Data Analytics
    • 🟠 Introduction to Orange
    • 🌞 Introduction to Radiant
    • 🐉 Introduction to R
    • 📚 Miscellaneous Graphs and Tools
    Descriptive Analytics
    • 🕶 The Nature of Data
    • 📊 Distributions
    • 📎 Correlations
    • 🏵 Visualizing Categorical Data
    • 🍕 Parts of a Whole
    • 🖏 Ratings and Rankings
    • 🗺 Maps
    • 🕔 Time Series
    • 🕸 Networks
    • 🌊 Evolution and Flow
    🧭 Basics of Statistical Modeling
    • 👪 Populations, Samples, Statistics, and Inference
    • 🎲 Simulation Based Models
      • ∝ Simulation Tests
      • 🃏 Permutation Test for Two Means
      • 🃏 Permutation Test for Two Proportions
      • 👟 Bootstrap Tests
    Predictive Analytics
    • 🍊 Intro to Orange
    • 🍢 ML - Regression
    • 🔣 ML - Classification
    • 🗫 ML - Clustering
    • 🕔 Modelling Time Series
    Prescriptive Analytics and Decisions
    • Intro to Linear Programming
    • The Simplex Method - Intuitively
    • The Simplex Method - In Excel
    Decision Making
    Workflow and Other Tools
    • Using FlexDashboard in R
    • 🕸 Additional Reference Material
  • Contents
    • Introduction
    • References
  1. Home
  2. Teaching
  3. 🌏 Data Analytics
  4. Predictive Analytics

🧭 Predictive Analytics

Introduction

We will use Orange Data Mining to understand some basic Machine Learning algorithms to derive predictions from our data.

References

  1. Predictive Analytics at University of Cincinatti. http://uc-r.github.io/predictive

Last updated on Jul 21, 2024

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