How to List all AMIs for each region in AWS
A script to list all the AMIs for a given name for every AWS region.
Dr. Phil Winder
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1 minMore articles
Page 14 of 20
Dr. Phil Winder
/
1 min
Principal Component Analysis
Where there are large numbers of features it becomes hard to visualise data and can cause problems with computational complexity. This python tutorial introduces dimensionality reduction and principal component analysis.
Distance Measures with Large Datasets
What to do when you need to perform a distance measure for a nearest neighbour like algorithm, but you have a large dataset?
603: Nearest Neighbour Tips and Tricks
Feature scaling and the type of distance metric used in nearest neighbour algorithms has a big effect on performance. This data science training video talks about this and other nearest neighbour tips and tricks.
602: Nearest Neighbour Classification and Regression
The nearest neighbour algorithm can also be used for classification and regression purposes. Find out how in this training video.
601: Similarity and Nearest Neighbours
The idea of similarity transcends problem boundaries. From recommendations to classification, learn how the nearest neighbour algorithm is not only useful but also very simple.
503: Visualising Overfitting in High Dimensional Problems
Often we can't visualise the decision boundary because there are too many dimensions. This training video shows you how to visualise overfitting when you have a high dimensional problem.
502: Preventing Overfitting with Holdout
To prevent fooling ourselves into thinking we are doing well, we hold back some data. Learn how in this training video.
501: Over and Underfitting
Overfitting is one of the most common data science problems. This training video explains why should generalise and prevent overfitting.
404: Nonlinear, Linear Classification
Sometimes linear decision boundaries aren't complex enough to perform well. This training video shows you how to transform your data to produce nonlinear boundaries.
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