Data Science
607 learners
Diving Deep into Regression
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.
Python
Scikit-learn
5 lessons
19 practices
3 hours
Machine Learning and Predictive Modeling
Lessons and practices
Print the First 10 Predictions
Complete the Linear Regression Model
Predicting Diabetes Health Metrics
Adjust Polynomial Degree to Enhance Regression
Polynomial Features for House Sizes
Predicting House Prices with Polynomial Regression
Predict House Prices Using Polynomial 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
Modifying Lasso Regularization Strength
Lasso Coefficients for House Prices
Comparing LinearRegression to Lasso
Predict Health Metrics using Lasso Regression
Adjust Elastic Net Regularization
Adjust Elastic Net's l1_ratio Parameter
Elastic Net Regression with Diabetes Data
Complete Elastic Net Initialization and Fitting
Meet Cosmo:
The smartest AI guide in the universe
Our built-in AI guide and tutor, Cosmo, prompts you with challenges that are built just for you and unblocks you when you get stuck.
Join the 1M+ learners on CodeSignal
Be a part of our community of 1M+ users who develop and demonstrate their skills on CodeSignal
