Predictive Modeling with PythonIntroduction to Predictive Modeling

Initiate your understanding of predictive modeling by exploring the fundamental workings and purposes of these models. Gain insights into how predictive models can guide decision-making across industries and sectors.

Exploring the Structure of the California Housing Dataset

Scatter Plot Insights: Latitude and Median Value

Exploring the Impact of Longitude on Housing Prices

Scatter Plot Exploration

California Housing Scatter Plot Creation

Predicting Tree Height with Linear Regression

Understanding the Impact of Data Changes on Regression

Regression Line Prediction Error

Predicting with Linear Regression

Charting the Regression Universe

Visualizing Linear Regression in the Housing Market

Fixing Dimensionality for Linear Regression Model

Predicting House Values with Different Incomes

Creating and Predicting with a Linear Regression Model

Implementing Linear Regression to Make a Prediction

Evaluating House Prices Predictions with MSE

Linear Regression Model Evaluation Error

Evaluating Predictive Models: Calculating MSE

Calculating Mean Square Error for Model Evaluation

Evaluating the Predictive Model with MSE