Tan Vachiramon - Choosing the right algorithm for your real-world problem
You import your data. You clean your data. You make your baseline model. Then, you tune your hyperparameters. You go back and forth from random forests to XGBoost, add feature selection, and tune som...
16 Heinä 201943min
Joel Grus - The case against the jupyter notebook
To most data scientists, the jupyter notebook is a staple tool: it’s where they learned the ropes, it’s where they go to prototype models or explore their data — basically, it’s the default arena for ...
16 Heinä 201947min
