Tag: Machine Learning
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Simple Linear Regression in Python

Code and data used can be found here: Repository From the previous two episodes you should now know the underlying theory of Linear Regression, its purpose and how we use gradient descent in optimising our parameters. You can read them here: Episode 4.1, Episode 4.2 . Setting up your programming environment All programming in this series…
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Understanding Gradient Descent

This article plans to expand on episode 4.1, explaining Gradient Descent and how it is used to minimise our cost function in Linear Regression. Knowledge of derivatives and partial derivatives will be helpful. Linear Regression Recap From the previous episode we calculated the regression line for our humidity and temperature data to be: Which we…
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Understanding Simple Linear Regression

This article is designed to teach the underlying theory of linear regression. How to code and implement this algorithm in Python will be included in episode 4.3. This article also covers some basic Data Science Terminology which is important to know for future episodes. What is Linear Regression? Linear regression is a common supervised machine…
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Introduction To Machine Learning

This article is designed to give an overview of Machine learning and briefly introduces the reader to the most common machine learning algorithms used by Data scientists as of today. Machine learning can be thought of as the main tool that data scientists use to extract useful information from data. It is essential therefore that,…
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Is Data science for You?

In order to answer this question it is important that you are aware of three things: What exactly is Data science? So you have a good idea if it matches your interests. How to become a Data scientist? To see if you have the necessary skills and / or are willing to do what it…
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The Data Series

Series overview Welcome to the first article of many taking you through the wonderful world of Data Science. Whether you are complete beginner or expert in the field of Data science, wish to become a Data scientist, or just want to know more about the field — this series is for you. The series will be split…