@@ -4,6 +4,7 @@ Python Solutions for Statistical Learning Problem Sets
Authors: Jan Ecke and Marius Puke
These solutions are based on problem sets from previous iterations of the course and may not correspond perfectly to this year's problem sets. They are intended to help students understand the concepts and methodologies of statistical learning.
Here, you'll find Python solutions to problem sets from previous iterations of the statistical learning course. Please note that these solutions may not align exactly with the current year's problem sets. They are crafted to aid students familiar with Python in understanding the key concepts and methodologies of statistical learning.
Feedback and Contributions: We value your input to make these resources as accurate and helpful as possible. If you notice any discrepancies or errors in the solutions, please contact Marius Puke at marius.puke@uni-hohenheim.de.
If you find any discrepancies or errors in the solutions, please do not hesitate to contact me at marius.puke@uni-hohenheim.de. Your feedback is appreciated and will help improve the quality of this resource.
