The rectified linear unit (ReLU) activation function introduces the property of nonlinearity to a deep learning model and solves the vanishing gradients issue. Here’s why it’s so popular.
Principal component analysis (PCA) in Python can be used to speed up model training or for data visualization. This tutorial covers both using scikit-learn.
After collecting life stats data for a year, here’s what you can learn by applying data analysis like correlation studies, time series analysis, Fourier transform and more.
Logistic regression is a classification technique that identifies the best fitting model to describe the relationship between the dependent and independent variables in a data set.
Data wrangling is the process of transforming raw data into easily understandable formats and organizing sets into a single structure for further processing.
The 1.5 IQR rule determines that any data point that’s 1.5 IQR points below the first quartile of data or above the third quartile is an outlier. Here’s why it’s 1.5 times IQR.
