- What is Data Science? Free
- Data Science Skillset Pro
- What is Machine Learning? Pro
- Common Machine Learning Algorithms Pro
- Data Science Workflow Pro
- Step 1: Scoping a Project Pro
- Step 2: Gathering Data Pro
- Step 3: Cleaning Data Pro
- Step 4: Exploring Data Pro
- Step 5: Modeling Data Pro
- Step 6: Sharing Insights Pro
- Regression Modeling Pro
- Key Takeaways Pro
- QUIZ: Intro to Data Science Pro
- EDA for Regression Pro
- Exploring the Target Pro
- Exploring the Features Pro
- ASSIGNMENT: Exploring the Target & Features Pro
- SOLUTION: Exploring the Target & Features Pro
- Linear Relationships & Correlation Pro
- Linear Relationships in Python Pro
- Feature-Target Relationships Pro
- Feature-Feature Relationships Pro
- PRO TIP: Pairplots & Lmplots Pro
- ASSIGNMENT: Exploring Relationships Pro
- SOLUTION: Exploring Relationships Pro
- Preparing for Modeling Pro
- Key Takeaways Pro
- QUIZ: Pre-Modeling Data Prep & EDA Pro
- Simple Linear Regression Pro
- The Linear Regression Model Pro
- Least Squared Error Pro
- Linear Regression in Python Pro
- Linear Regression in Statsmodels Pro
- Interpreting the Model Pro
- Making Predictions Pro
- R-Squared Pro
- Hypothesis Tests Pro
- The F-Test Pro
- Coefficient Estimates & P-Values Pro
- Residual Plots Pro
- CASE STUDY: Modeling Health Insurance Prices Pro
- ASSIGNMENT: Simple Linear Regression Pro
- SOLUTION: Simple Linear Regression Pro
- Key Takeaways Pro
- QUIZ: Simple Linear Regression Pro
- Multiple Linear Regression Equation Pro
- Interpreting Multiple Linear Regression Models Pro
- Variable Selection Pro
- Adjusted R-Squared Pro
- ASSIGNMENT: Multiple Linear Regression Pro
- SOLUTION: Multiple Linear Regression Pro
- Mean Error Metrics Pro
- DEMO: Mean Error Metrics Pro
- ASSIGNMENT: Mean Error Metrics Pro
- SOLUTION: Mean Error Metrics Pro
- Key Takeaways Pro
- QUIZ: Multiple Linear Regression Pro
- Assumptions of Linear Regression Pro
- Linearity Pro
- Independence of Errors Pro
- Normality of Errors Pro
- DEMO: Normality of Errors Pro
- PRO TIP: Interpreting Transformed Targets Pro
- No Perfect Multicollinearity Pro
- Equal Variance of Errors Pro
- Outliers, Leverage & Influence Pro
- RECAP: Assumptions of Linear Regression Pro
- ASSIGNMENT: Model Assumptions Pro
- SOLUTION: Model Assumptions Pro
- Key Takeaways Pro
- QUIZ: Model Assumptions Pro
- Model Scoring Steps Pro
- Data Splitting Pro
- Overfitting & Underfitting Pro
- The Bias-Variance Tradeoff Pro
- Validation Data Pro
- Model Tuning Pro
- Model Scoring Pro
- Cross Validation Pro
- Simple vs. Cross Validation Pro
- ASSIGNMENT: Model Testing & Validation Pro
- SOLUTION: Model Testing & Validation Pro
- Key Takeaways Pro
- QUIZ: Model Testing & Validation Pro
- Intro to Feature Engineering Pro
- Feature Engineering Techniques Pro
- Polynomial Terms Pro
- Combining Features Pro
- Interaction Terms Pro
- Categorical Features Pro
- Dummy Variables Pro
- DEMO: Dummy Variables Pro
- Binning Categorical Data Pro
- Binning Numeric Data Pro
- DEMO: Additional Feature Engineering Ideas Pro
- ASSIGNMENT: Feature Engineering Pro
- SOLUTION: Feature Engineering Pro
- Key Takeaways Pro
- QUIZ: Feature Engineering Pro
- Intro to Regularized Regression Pro
- Ridge Regression Pro
- Standardization Pro
- Fitting a Ridge Regression Model Pro
- DEMO: Fitting a Ridge Regression Pro
- PRO TIP: RidgeCV Pro
- ASSIGNMENT: Ridge Regression Pro
- SOLUTION: Ridge Regression Pro
- Lasso Regression Pro
- PRO TIP: LassoCV Pro
- ASSIGNMENT: Lasso Regression Pro
- SOLUTION: Lasso Regression Pro
- Elastic Net Regression Pro
- DEMO: Fitting an Elastic Net Regression Pro
- PRO TIP: ElasticNetCV Pro
- ASSIGNMENT: Elastic Net Regression Pro
- SOLUTION: Elastic Net Regression Pro
- RECAP: Regularized Regression Models Pro
- PREVIEW: Tree Based Models Pro
- Key Takeaways Pro
- QUIZ: Regularized Regression Pro
- Intro to Time Series Analysis Pro
- Moving Averages Pro
- DEMO: Moving Averages Pro
- Exponential Smoothing Pro
- ASSIGNMENT: Smoothing Pro
- SOLUTION: Smoothing Pro
- Decomposition Pro
- DEMO: Decomposition Pro
- PRO TIP: Autocorrelation Chart Pro
- ASSIGNMENT: Decomposition Pro
- SOLUTION: Decomposition Pro
- Forecasting Pro
- Linear Regression with Trend & Season Pro
- DEMO: Linear Regression Pro
- Facebook Prophet Pro
- ASSIGNMENT: Forecasting Pro
- SOLUTION: Forecasting Pro
- Key Takeaways Pro
- QUIZ: Time Series Analysis Pro