Predicting Student Grades - Data Every Day #016

Welcome to Episode 16 of Data Every Day! Today we will be looking at a dataset of students' performances in a math class and trying to predict their final grade based on a number of factors including alcohol consumption and previous grades. We will use a linear regression model to fit to our data. Here is a link to the Kaggle dataset: https://www.kaggle.com/uciml/student-alcohol-consumption And here is a link to my notebook from the video: https://www.kaggle.com/gcdatkin/predicting-student-grades Thanks for watching! If you enjoyed the video, make sure to leave a comment with any suggestions and hit that subscribe button for more content! See you all tomorrow! :)