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CodeSignal

Building Probability Models

via CodeSignal

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Overview

You'll learn to build formal probability models for chance processes — both with and without equally likely outcomes — use models to predict expected frequencies, and evaluate models by comparing predictions to observed data.

Syllabus

  • Unit 1: Defining Probability Models
    • Valid Probability Models
    • Match Probability Models And Flaws
    • Fill Missing Probability Values
    • Explain The Probability Model
  • Unit 2: Uniform Probability Models
    • Complete Uniform Probability Statements
    • Find Probability From Models
    • Finding Probability From Menus
    • Explain A Uniform Probability Model
  • Unit 3: Non-Uniform Probability Models
    • Complete Probability Model Statements
    • Find Event Probability
    • Finding Transit Probability
    • Matching Probability Models
    • Explain The Complaint Model
  • Unit 4: Predicting Expected Frequencies
    • Finish The Expected Frequency Statements
    • Predict Wins From Probability
    • Finding Expected Late Deliveries
    • Explain Expected Frequencies
  • Unit 5: Comparing Model Predictions
    • Finding Expected Frequencies
    • Judging Probability Model Fit
    • Match Probability Scenarios To Causes
    • Evaluate The Checkout Model

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