Week 3 - Intro Kaggle competition - EDA and baseline models with PyTorch
Learning and testing - a.k.a. don't do Bullshit Machine Learning
Course session
https://drive.google.com/file/d/18VsrKSqNFaWeWsL24ULFrNnwpghpdwJZ/view?usp=sharing
Walk-through
Hyperparameter experiment
The following notebook will show how to set up a hyperparameter experiment in plain PyTorch. More importantly it give you the results and enables you to analyze and play around
Kaggle
Introduction
Titanic
Solutions exercise MLP
Presentation from the participants of the MLP from Coursera
To-do
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Do Week 3 of the Coursera Course
The notebook from the Coursera Course of Week 3 can be accessed here:
The next task is to analyze the results of the hyperparameter experiment and create a small presentation on your findings(e.g. batch size of 16 with lr=0.2 seems to equal batch size of 1 with lr=0.01). Here is the notebook again:
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Run your own hyperparameter experiment
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Do your own EDA on the Titanic Dataset and/or look at other EDA notebooks from competitors. Make a final presentable EDA notebook.
Familiarize yourself with this PyTorch Tutorials:
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