Part 1 Exploring Food Data

Posted Leave a commentPosted in Learn

Abstract¶When we first look at the file we can see that it is the biggest one of all, most of the data will not be used, we will create samples. Lets set an a priory goal to see if there is a connection between the countries and some of the ingredients that don’t have that […]

Stochastic Processes and Applications

Posted 1 CommentPosted in Probabilities

This notebook is a basic introduction into Stochastic Processes. It is meant for the general reader that is not very math savvy, like the course participants in the Math Concepts for Developers in SoftUni.
There is a basic definition. Some examples of the most popular types of processes like Random Walk, Brownian Motion or Weiner Process, Poisson Process and Markov chains have been given. Their basic characteristics and examples for some possible applications are stated. For all the examples there are simulations in Python, some are visualized.
The following packages have been used:

nympy
matplotlib.pyplot
random
scipy.stats
itertools
matplotlib.patches