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In this post, you will learn about how to train a decision tree classifier machine learning model using Python. The following points will be covered in this post:

  • What is decision tree?
  • Decision tree python code sample

What Is a Decision Tree?

Simply speaking, the decision tree algorithm breaks the data points into decision nodes resulting in a tree structure. The decision nodes represent the question based on which the data is split further into two or more child nodes. The tree is created until the data points at a specific child node is pure (all data belongs to one class). The criteria for creating the most optimal decision questions is the information gain. The diagram below represents a sample decision tree.

Source de l’article sur DZONE

In 2019, the market revenue of IoT reached $ 212 billion. There are about 26.66 billion connected IoT devices worldwide, and this number is to reach 75.44 billion by 2025. The UN estimates that, in May 2020, the world population is 7.78 billion people. A simple math operation tells us that an average person owns from 3 to 4 IoT devices. Do you have one? Maybe a smartwatch? A smart TV? Or a smart car?

Moving further, the population is expected to reach 8.1 billion people in 2025. The same math calculation shows us that, in 2025, an average person will have from 9 to 10 smart devices in their possession. Do you see where I am leading you to? Do you want to join this prosperous market niche and make your IoT device to be one of these 9 to 10?

Source de l’article sur DZONE

It’s always interesting to find companies focused on innovating the underlying infrastructural layers that makes amazing things happen in IoT. One of these is Helium, which was co-founded by Shawn Fanning (Napster co-creator) and Amir Haleem in 2013, with a mission to make it easier to build decentralized wireless networks.

They’ve created what they call "The People’s network, the world’s first sharing-economy wireless network to simplify connecting anything to the internet by rewarding anyone to become a network operator. There are now over 2700 Hotspots in over 745 U.S. cities across every state with the exception of West Virginia (even Puerto Rico is online). 

Source de l’article sur DZONE

In this series, I’m discussing the phases of a project encompassing a non-trivial set of Ethereum smart contracts and the React/Redux application that communicates with them.

The project, called In-App Pro Shop, aims to help Ethereum developers easily support in-app purchases, and it was written over the last half of 2018 as a way of learning about the Ethereum development ecosystem.

This project revealed many aspects of the power and constraints of Ethereum and its programming language Solidity. I hope to pass as much of that on to you as possible in this series.

Source de l’article sur DZONE