An Introduction to Image Recognition

An Introduction to Image Recognition

You can access the full course here: Convolutional Neural Networks for Image Classification Intro to Image Recognition Let’s get started by learning a bit about the topic itself. Image recognition is, at its heart, image classification so we will use these terms interchangeably throughout this course. We see images or real-world items and we classify … Read moreAn Introduction to Image Recognition

An Introduction to Machine Learning

An Introduction to Machine Learning

You can access the full course here: Machine Learning for Beginners with TensorFlow Intro to Machine Learning Now that we know what the course is all about, let’s learn a bit about the main topic: machine learning. What is machine learning? Machine learning is the study of statistics and algorithms aimed at performing a task … Read moreAn Introduction to Machine Learning

A Bite-Sized Guide to Pandas

You can access the full course here: Bite-Sized Pandas Part 1 In this lesson we’ll learn about DataFrames (the data structure pandas works with) and learning how to access data in the DataFrame using pandas. We’ll open Anaconda Navigator and load our environment file. Now we need to copy the files we’ll be working with … Read moreA Bite-Sized Guide to Pandas

A Bite-Sized Guide to NumPy

A Bite-Sized Guide to Numpy

You can access the full course here: Bite-Sized NumPy Part 1 In this lesson you will learn how to download an install Anaconda and Jupyter notebooks on your mac. What is Anaconda? Anaconda is a distribution software that provides everything a user would need to start Python development. It includes: Python language Libraries Editors(Such as … Read moreA Bite-Sized Guide to NumPy

How to do Cluster Analysis with Python

You can access the full course here: Data Insights with Cluster Analysis Part 1 In this video we are going to discuss Cluster Analysis. We will discuss the following topics: Intro to Cluster Analysis – what is it, what are it’s different applications, the kinds of algorithms we can expect. K-means clustering Density-based Spatial Clustering … Read moreHow to do Cluster Analysis with Python

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 moreProbability for Data Science Tutorial

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 moreHypothesis Testing for Data Science Guide