Closing

Well done! You did it!

Next, you can play with this dataset a little bit.

• Try to select players in another position, i.e., goalkeeper (“GK”), what features will be the top correlated ones? what will be the features you selected?
• Change the features you selected, will it change the model prediction results?
• Change the ratio of training/testing data, see what will happen.
• Change the target variable, for example, ‘Value’ or ‘Wage’. Try to figure out how to convert the content to numerical value.
  • hint: 50k = 50 * 1000, 10M = 10 * 1000 * 1000.

In today’s class, you learned how to train a linear regression model to estimate the overall ratings of a soccer player. We hope you enjoyed it and have been inspired a little.

From now, you can explore the kaggle website, try to find another dataset to play. Apply linear regression to predict/estimate the results. You’ll be amazed by what you can be done. 👏🏽👏🏽👏🏽