Tag: machine learning
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The ultimate beginner’s guide to data scraping, cleaning, and visualization
If your model has acceptable results but isn’t amazing, take a look at your data! Cleaning and preprocessing your data will make your model a star.
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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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What is deep learning, and how does it work?
Sit back, relax, and get comfortable with cool concepts like neural networks, gradient descent, backpropagation, and more.
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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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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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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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Convolutional neural networks and image classification
A notification pops up that someone posted a picture that might have you in it. It’s right. How did that happen? Image classification!
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