Month: November 2017

Walk or run in the rain?

A dive into this, almost philosophical, question!

Matplotlib in Jupyter

Object-oriented plotting was quite exciting

An overview of the most common ML types

Using different kinds of machine learning algorithms for different tasks


Although it was not the very embodiment of human intelligence when it comes to dealing with life from another planet, it still achieves to scare you with the admittedly realistic unfold of the events

How Iron Man 3 should have ended…

Let’s engage the “House Party” protocol a bit…earlier

Myths and Facts About Super-Intelligent AI

“If you can’t explain it simply, you don’t understand it well enough”

If, switch and functions in R

More introductory examples for acing the language

How Iron Man should have ended…

As always Tony Stark wants to get all the credit

Introduction to ggplot2 package in R

Code for visualizing data sets for beginners

Pandas Data Analysis Part II

More advanced data manipulations using the popular library

My Big Fat Greek Wedding

An interesting portrait of the Greek culture

A nice categorization of the most commonly used ML Algorithms

Split by categories, such as regression, decision tree and clustering

Functions, loops, ifelse and apply in R

More introductory examples using the powerful vectorized nature of the language

How Lord of the Rings should have ended…

The very first episode of this series proves quite a point

Equations that changed the course of human history

I personally appreciate Pythagoras’s Theorem, Normal Distribution, Information Theory (entropy) and the equation of Relativity

Loops in R

More examples in R using loops (for, while, repeat)

NumPy introduction in Jupyter Notebook

Some examples of manipulating arrays using the NumPy library

How Titanic should have ended…

Next stop on our list is the legendary Titanic

American Horror Story

7.5/10, since you are in for a scary ride…

Moving from BI to Automated Machine Learning

The oceans of data require an automation never seen before

Kaggle is the… place for data science and machine learning

The Datasets tab of the website, provides a rich collection of data