Machine Learning Data Science
A collection of random bits and bobs accumulated over time. This isn't specific to any project. Code and docs are related to random activites, videos, courses, hackathons, personal projects etc.
Have a look in the visualisations folder for some neat looking results.
- p(y=1|x) = sigma(w-transpose x)
- Linear classification model
- Can handle sparse data
- Fast to train
- Weights can be interpreted