<ul><li>This week the author started building a portfolio of real machine learning (ML) projects to break into the industry.</li><li>The author used the California Housing dataset from sklearn.datasets for predicting housing prices with linear regression.</li><li>Exploratory Data Analysis (EDA) revealed features with strong correlation to house prices, such as median income.</li><li>The author trained a linear regression model using scikit-learn, evaluated its performance, and made predictions on new or test data.</li></ul>

Day One of My Machine Learning Rebuild: Predicting Housing Prices with Linear Regression

Discover more