Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

CodeSignal

Diving Deep into Regression

via CodeSignal

Go to class Write review

Overview

This course explores regression techniques beyond linear models, including polynomial regression, ridge, lasso, and elastic net regressions. You will learn everything about regularization to train perfect regression models.

Syllabus

  • Unit 1: Recall of the Linear Regression Basics
    • Print the First 10 Predictions
    • Complete the Linear Regression Model
    • Predicting Diabetes Health Metrics
  • Unit 2: Polynomial Regression
    • Adjust Polynomial Degree to Enhance Regression
    • Polynomial Features for House Sizes
    • Predicting House Prices with Polynomial Regression
    • Predict House Prices Using Polynomial Regression
  • Unit 3: Ridge Regression
    • Adjust the Regularization Term for Ridge Regression
    • Complete the Ridge Regression Model
    • Comparing Performance of Linear Regression and Ridge
    • Ridge Regression with Diabetes Dataset
  • Unit 4: Lasso Regression
    • Modifying Lasso Regularization Strength
    • Lasso Coefficients for House Prices
    • Comparing LinearRegression to Lasso
    • Predict Health Metrics using Lasso Regression
  • Unit 5: Elastic Net Regression
    • Adjust Elastic Net Regularization
    • Adjust Elastic Net's l1_ratio Parameter
    • Elastic Net Regression with Diabetes Data
    • Complete Elastic Net Initialization and Fitting

Reviews

Start your review of Diving Deep into Regression

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.