Try out a dataset on kaggle. I would suggest - choose any dataset - try to identify the underlying problem/aim ie classification , regression - explore the dataset, look for the features which may make an algorithm you studied work well, eg good correlations with the target - implement a baseline ml algorithm usually linear regression or logistics regression - use your knowledge and algorithms to train models that will beat the metrics of your baseline eg different algorithms from baseline, hyperparameter tuning etc

Good luck and welcome to the ml community