Probability for Data Science Tutorial

You can access the full course here: Probability Foundations for Data Science Part 1 In this lesson, we’re going to see an introduction to the Probability Theory. Probability definitions We define probability as the likelihood of some event happening. For coin flipping, there is an equal probability of having heads or tails (1/2 each), and we represent it by … Read more

Hypothesis Testing for Data Science Guide

You can access the full course here: Hypothesis Testing for Data Science Part 1 To start this course, we’re going to cover the following topics: Random Variables Normal Distribution Central Limit Theorem Random Variables A random variable is a variable whose value is unknown. Namely, the outcome of a statistical experiment. Consider the example of a … Read more

How to Use Machine Learning to Show Predictions in Augmented Reality – Part 2

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

How to Use Machine Learning to Show Predictions in Augmented Reality – Part 1

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

Python Mini-Degree

Machine Learning Fundamentals

Go from Zero to Python Expert – Learn Computer Vision, Machine Learning, Deep Learning, TensorFlow, Game Development and Internet of Things (IoT) App Development. We live in a world that is continuously advancing as a result of technological innovation. To succeed in this ever-changing world, you’ll need to learn and gain expertise in the technologies … Read more

Dimensionality Reduction

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