I really enjoyed passing a Deep Learning specialisation by Andrew Ng on coursera ( https://www.coursera.org/specializations/deep-learning).

The training data that is used in the repo is listed and described here https://github.com/trekhleb/homemade-machine-learning/tree/master/data. The accuracy of the algorithms are mostly displayed in the notebooks. For example here https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/logistic_regression/multivariate_logistic_regression_fashion_demo.ipynb for logistic regression example you may find the block that states: "Training Precision: 93.8333%, Test Precision: 82.9000%"

Hey everyone! My name is Oleksii and I'm the creator of JavaScript Algorithms and Data Structures repository and Aggregatus service. Looking forward to share and read interesting things here on Hashnode. Have a good day everyone!