Time Series and Forecasting with Python code examples, Part II
A series on how to predict the future

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A series on how to predict the future

A series on how to predict the future

One of the greatest discoveries of all times explained in a bunch of simple words
The field of Predictive Analytics is everywhere these days. We can hear about it in several and different areas like medicine, businesses, industries, and so on. But what exactly Predictive Analytics is? How can some algorithms predict the future, an...
Greedy algorithms try to find the optimal solution by taking the best available choice at every step. For example, you can greedily approach your life. You can always take the path that maximizes your happiness today. But that doesn't mean you'll be...
What if I tell you that you can always have the language that better fits your problem? We are always implementing design patterns and abstractions to adapt our programming language to the domain of the problem. We create the classes Store, Product, ...
Naive Bayes Classifiers (NBC) are simple yet powerful Machine Learning algorithms. They are based on conditional probability and Bayes's Theorem. In this post, I explain "the trick" behind NBC and I'll give you an example that we can use to solve a c...
You know the situation is tricky when you need more than just arrays and dictionaries. That was my case a couple of months ago. I needed an indexed data structure that supported insertion and removal operations as fast as possible. With an array, I c...
After my first month of writing in my blog, this seems an adequate question. Why do I write? But also, why now? and what's the benefit I get from it? I started to ask myself these and other related questions about writing. This post is the result of ...