· 1 min read
Series Kaggle Getting Started
Baby steps towards competitions
![Baby steps towards competitions](https://upload.wikimedia.org/wikipedia/commons/thumb/7/7c/Kaggle_logo.png/400px-Kaggle_logo.png)
Why?
Because Getting Started is:
-
Easy
-
Less intimidating
-
Less chance of getting stuck
How we will do it?
By:
-
focusing on the process rather than just getting the output.
-
starting with easier problems.
Prerequisite
- PyTorch: A 60 Minute Blitz, Writing Custom Datasets
Expectations from this series
Time: 5–6 Hours per challenge or more.
Coding Style: fastai coding style
-
While coding, no function takes 10 seconds.
-
Heavy use of %timeit%
Explanation Style: Based on Kaggle Notebook Commits
-
Notebook Commit 1: Will focus on getting input and output
-
Next N-1 Commits: Will add new features/improvements. These will be linked.
-
Last Commit: Complete solution
This way one can see get a peek behind the finished product.
Abbreviations Used
X = training_data
y = training_label
ds = dataset
dl = dataloader
o = optimizer
Index
- Digit Recognition
- Facial Keypoints Detection - in progress
Share: