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CodeSignal

Regression Analysis to Model Diamond Prices

via CodeSignal

Overview

Final stop to implement regression analysis to model diamond prices based on various features. Learn to train, predict, and evaluate model performance.

Syllabus

  • Lesson 1: Splitting Data into Train and Test Sets
    • Changing the Split Ratio
    • Fix the Dataset Split
    • Splitting Dataset Correctly
    • Split the Dataset
    • Split Diamonds Data Correctly
  • Lesson 2: Training a Linear Regression Model
    • Change Train-Test Split Seed
    • Fix Common Data Processing Errors
    • Train Linear Regression Model
    • Train Your First Linear Model
    • Train a Linear Regression Model from Scratch
  • Lesson 3: Making Predictions and Evaluating Model
    • Change Training and Testing Size
    • Fix the Prediction Model
    • Predict and Evaluate Diamond Prices
    • Train and Evaluate the Model
    • Write a Linear Regression Model
  • Lesson 4: Visualizing Actual vs Predicted Prices in Regression Models
    • Impact of Train-Test Split and Variable Choices
    • Fix the Visualization Code
    • Visualizing Model Predictions
    • Visualize Diamond Price Predictions
    • Visualize Model Predictions from Scratch
  • Lesson 5: Advanced Regression Analysis with Random Forests
    • Enhance Random Forest Model Performance
    • Fix the Random Forest Model
    • Create and Train a Random Forest Regressor
    • Add Missing Random Forest Code
    • Random Forest Regressor from Scratch

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