Tag: coding
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Getting started with Git and GitHub: The complete beginner’s guide
It’s incredibly easy to get started with Git and GitHub. If you’re a fast reader (and you don’t take a lot of time with sign up and installation), you can be up and running on GitHub about ten minutes from right now. Let’s get started!
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Getting started with Google Colab
Looking for free GPU? Google Colab has your back! Wondering how on earth to get it to work? You’re in the right place! Let me show you…
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The brilliant beginner’s guide to model deployment
The brilliant beginner’s guide to model deployment: a clear and simple roadmap for getting your machine learning model on the internet and doing something cool
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Multiple linear regression in 4 lines of code!
Conquer the basics of multiple linear regression (and backward elimination!) and use your data to predict the future!
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Simple linear regression in four lines of code
Even you can build a machine learning model. (Yes, you!) Good data alone doesn’t always tell the whole story.
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How to create a totally free portfolio or website
Do you want to create a totally free portfolio, blog, or website but you don’t know where to start? It’s simple and painless if you know what to do!
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Intro to deep learning
We live in a world where, for better and for worse, we are constantly surrounded by deep learning algorithms. In fact, you’re probably reading this article right now because a deep learning algorithm thinks you should see it.
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How to build an image classifier with greater than 97% accuracy
How do you teach a computer to correctly identify a flower when even you don’t know what it is? Let me show you!
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Data cleaning and preprocessing for beginners
If your data hasn’t been cleaned and preprocessed, your model does not work. Data preprocessing is the first step toward building a machine learning model.
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Simply deep learning: an effortless introduction
This article first appeared on Towards Data Science. What is an artificial neural network, how does it work, and what does it have to do with deep learning? Let’s start with a quick recap from part 1 for anyone who hasn’t looked at it: What is deep learning? It’s learning from examples. That’s pretty much the deal.…
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