2018
Why, How And When To apply Feature Selection
Modern day datasets are very rich in information with data collected from millions of IoT devices and sensors. This makes the data high dimensional and it is quite common to see datasets with hundreds of features and is not unusual to see it go to tens of thousands.
2017
Why, How and When to Scale your Features
Feature scaling can vary your results a lot while using certain algorithms and have a minimal or no effect in others. To understand this, let’s look why features need to be scaled, varieties of scaling methods and when we should scale our features.
Youtube Data in Python
I have been hunting for weeks for a specific kind of dataset. The dataset I care about. Even though there are thousands of public datasets out there, they all seem to be where I have very little or no stake in.