Weight Prediction Model

This video tutorial guides viewers through a machine learning project to predict fish weight using a dataset of fish measurements. It covers data exploration, visualization, handling outliers, data preparation, model training, evaluation, and making predictions. The project uses linear regression and includes practical coding demonstrations.

How do you handle outliers in the dataset?

What steps are taken to prepare the dataset before feeding it into the machine learning algorithm?

What command is suggested for selecting data quickly from large datasets?

What is the significance of the R squared score in evaluating the model?