Julie Fisher articles - 7 total
Fitting KNN: From Overfit to Underfit and Everything Between
Machine learning models, like clothes, are all about fit — too tight, and they can’t move; too loose,...
KNN: The Importance of Being Scaled
What is Scaling? In short, scaling is a data preprocessing step that transforms features...
Evaluating KNN: From Training Field to Scoreboard
In the last post we looked at the Social_Network_Ads dataset and figured out what features we'll use....
Exploring K-NN Data: A Beginner’s Guide to EDA and Feature Selection
TLDR; The Gender feature is noise and the User ID column is a unique identifier that's...
Python Projects With Less Pain: Beginner's Guide to Virtual Environments
TLDR; To create a virtual environment: Navigate to your project directory's root...
Cleaning Data: wrangling data for a SageMaker pipeline
Wrangling data into a usable form is a big part of any real world machine learning problem. When...
Using S3 from AWS's SageMaker: reading and writing files
There are a lot of considerations in moving from a local model used to train and predict on batch...