The Box-Jenkins method, named after George Box and Gwilym Jenkins, is an approach used in time series analysis to find the best fit of a time-series model to past values of a time-series applying Autoregressive Moving Average (ARMA) and Autoregressive Integrated Moving Average (ARIMA). Approach The approach has been referred
PCA is an algorithm used to find the principal component of data. Principal components are the directions where there is the most variance, the directions where the data is most spread out. Eigenvectors and Eigenvalues On a set of data, we can deconstruct the set into eigenvectors and eigenvalues. Every
Lately I've been playing with some ML projects, and this chart is really useful.
Here is a script that I've used to set up a python environment on Ubuntu and raspbian #Update the system sudo apt-get update sudo apt-get -y upgrade #Install python and virtualenv sudo apt-get install build-essential libssl-dev libffi-dev python-dev python3-tk python3-venv python3-pip #Create env directory tree mkdir environments cd