Don't just tow the line, move it!
Imagine you are buying a car and you want to know about its mileage. You don’t want to go for the user reviews or the company’s claim of mileage. The option you are left with is to predict the mileage all by yourself. So, if you are an interested data scientist, why not give it a try?
Power of a neuron
Neural Networks are very fascinating, but they are very complicated to understand. To simplify our understanding, we start with the simplest unit of the neural network – the perceptron. We want to understand what role the perceptron plays and its functioning as a simple logical unit. This should hopefully improve our understanding of a neural network.
Dataframes on-the-fly
At times it is necessary to create dataframes within a program. Learn three ways to create them.
Improve the interpretation of a heatmap
Heatmaps are used to visually represent correlation between various continuous features in a dataset. You can construct heatmaps and give them different colours for different values. This gives good visual appeal and makes it easier to understand.
Correlate categorical predictor with continuous response variable
Regression datasets often have a mix of categorical and continuous predictor variables. When the number of categorical variables is large, how do you pick the ones that are relevant to the regression(i.e. correlated to the response variable)?
The convenience of horizontal histograms
Most NLP projects require us to look at word counts in documents. The traditional way is to draw histograms with vertical bars. But, are they convenient?