You can access the full course here: Bite-Sized Python Data Visualization Part 1 In this video, we are going to be looking for 2 of the more common plots – the column and bar plots. There is a very small difference between the two and matplotlib gives us a way to use an almost identical … Read more
You can access our newest course on Data Visualization here: The Complete Python Data Visualization Course Transcript 1 Hello, everybody. My name is Mohit Deshpande and thanks for joining me. And in this course we’re gonna be learning a lot about data visualization. And so what we’re gonna be looking at is, we’ll be able … Read more
Part 2 Recap This tutorial is part of a multi-part series. In Part 1, we loaded our data from a .csv file and used Linear Regression in order to predict the number of patients that the hospital is expected to receive in future years. In Part 2 we improved the UI and created a bar … Read more
Part 1 Recap This tutorial is part of a multi-part series: in Part 1, we loaded our data from a .csv file and used Linear Regression in order to predict the number of patients that the hospital is expected to receive in future years. Introduction In this second part, we will focus our work on … Read more
Introduction In this tutorial series, you’ll learn how to develop a project that integrates Machine Learning algorithms for predictions and Augmented Reality for data visualization. For this project we will use Unity 3D and EasyAR, we’ll build Machine Learning algorithms from the ground up in order to give you a better understanding of how Machine … Read more
Dimensionality Reduction is a powerful technique that is widely used in data analytics and data science to help visualize data, select good features, and to train models efficiently. We use dimensionality reduction to take higher-dimensional data and represent it in a lower dimension. We’ll discuss some of the most popular types of dimensionality reduction, such … Read more
“Data science” or “Big data analyst” is a phrase that has been tossed around since the advent of Big Data. But what is it, really? Well imagine working for a retail company. One of the questions you may be asked to answer is “how many chips should we stock up for this month?” It seems … Read more
