Loading and Processing Data using Relational Databases — In part one we were able to go through the process of cleaning data in Azure notebooks. In Part two of this series, we work with the Azure SQL database to load the data to the cloud. Then we’ll query the data within the cloud environment as well as use…

Data Preparation and Processing in Microsoft Azure. — Finding and connecting the dots in your data can prove instrumental in helping your business grow, and even avoid stagnation or decline. As a data scientist, your approach to extracting insights from data should be fact-based, thoughtful, and provide a point of view. You should have the data to back…

The Coding Part 😎!! — In Part One of this, we had a brief walkthrough of how a Neural Network classifies images of clothing. Here, we get into the code just to prove all that theory we talked about in part one. The file loading is a little bit heavy especially for not so fast internet connection. Here is the link to the repo containing the notebook. On your right, make sure to change from “default file viewer” to “ipython notebook”.

Brief walk through how a Neural Network Classifies Various Items of Clothing.👗👖👞👢 — The Dataset In order for us to be able to train a model to identify different items of clothing we need a comprehensive dataset. Enter the Fashion-MNIST dataset! The Fashion-MNIST dataset contains 70,000 images of clothing — 60,000 of those as training examples and 10,000 as testing examples. …

Awesome stuff: A simple and general intro of Machine Learning is included👌. — First, what is Machine Learning? Let’s begin with a problem. Given the following set of input and output values, input : 0.0, 8.0, 15.0, 22.0, 35 output : 32, 46.4, 59, 71.6, ? where, for example, an input of 0 gives an output of 32 and an input of 15 gives an output of 59…

The Global Partnership for Sustainable Development Data, the Governments of Kenya and Sierra Leone, and Safaricom hosted ‘Data for Development in Africa’ 29–30 June 2017, in collaboration with the African Development Bank, the UN Economic Commission for Africa, and the Governments of Ghana, Senegal, and Tanzania. …

Background: — In the previous post, we used the Old Faithful Geyser -faithful- dataset to perform visual analysis on one dimensional and two dimensional numeric data. In this continuation of the Visual Analysis in R mini-project, we will be performing a Visual Analysis on variable relationships. The dataset in use is the…

Introduction. The Old Faithful Geyser in Yellowstone National Park, Wyoming-USA, is a tourist attraction and geographic phenomenon. In this mini-project, I will be doing a Visual Analysis in R of the (Old) Faithful dataset. Particularly, an analysis on the eruption time and wait time. Load the Faithful dataset. The Faithful dataset is housed in R…

Early May I received a congratulatory email. I had been accepted into the Google Africa Challenge Scholarship Program, the Mobile Web Specialist track. Due to excitement, I could hardly read through the email. So I let the excitement wear out, then picked up from where I had left (the email)…