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Decision Trees for Classification and Regression

Machine learning

Decision trees are a common type of machine learning model used for binary classification tasks. The natural structure of a binary tree lends itself well to predicting a “yes” or “no” target. It is traversed sequentially...

Feature Importance

Machine learning

When we fit a supervised machine learning (ML) model, we often want to understand which features are most associated with our outcome of interest. Features that are highly associated with the outcome are considered more...

History of Chatbots

Machine learning

In October of 1950, Alan Turing proposed an approach for evaluating a computer’s intelligence and famously named his method, The Imitation Game. The premise is that an interrogator talks to two people through a “typewrit...

How to set up a deep learning environment

Machine learning

TensorFlow(TF), developed by Google Brain, is the most well-known library used in production fordeep learningmodels and it has a very large community. However, TensorFlow has a steep learning curve. On the other hand,Ker...

Introduction to Regression Analysis

Machine learning

We often hear of new, complex “machine learning” methods that allow us to generate human language, very accurately predict changes in the stock market, or recognize that an image contains a person or specific object. Whi...

Normalization: Min-Max and Z-Score Normalization

Machine learning

Normalizationis a useful data preprocessing technique used to adjust the scale of numeric data features so that they fall within a particular range or follow a specific distribution. This is especially important when dat...

Scikit-Learn Cheatsheet

Machine learning

Scikit-learnis a library in Python that provides many unsupervised andsupervised learningalgorithms. It’s built upon some of the technology you might already be familiar with, likeNumPy, pandas, and Matplotlib!

The Machine Learning Process: Look What Taylor Swift Made Me Do

Machine learning

For the past few months, the Curriculum team at Codecademy has been hard at work creating Machine Learning courses. While we all loved writing courses, we also wanted to see what we could do with real-world data. As a re...

What is One Hot Encoding and How to Implement it in Python?

Machine learning

When working with real-world datasets, attributes like gender, color, names of places, and product type contain vital information that can help build efficientmachine learning (ML)models. As ML models understand only num...

Deep Learning Workflow

Machine learning

Successfully usingdeep learningrequires more than just knowing how to buildneural networks; we also need to know the steps required to apply them in real-world settings effectively.

Ethics of Chatbots

Machine learning

Imagine you are shopping online and come across a live chat feature on a website. You decide to begin a chat to get some advice on finding the right product to purchase. The representative on the other end appears to be...

Long Short Term Memory Networks

Machine learning

Information Persistence andNeural Networks

Netflix Recommendation Engine

Machine learning

You may have heard the term “big data“ thrown around, but do you understand what it is? Big data refers to massive datasets that can be used to reveal patterns and trends. Any large quantity of information, from sports s...

Regression vs. Classification

Machine learning

Machine Learning is a set of many different techniques that are each suited to answering different types of questions.

Supervised vs. Unsupervised Learning: what's the difference?

Machine learning

As humans, we have many different ways we learn things. The way you learned calculus, for example, is probably not the same way you learned to stack blocks. The way you learned the alphabet is probably wildly different f...

The Machine Learning Process: Identifying Storylines in Survivor

Machine learning

For the past few months, the Curriculum team at Codecademy has been hard at work creating Machine Learning courses. While we all loved writing courses, we also wanted to see what we could do with real-world data. As a re...

Training Set vs Validation Set vs Test Set

Machine learning

Inmachine learning, data is everything. However, just having data isn’t enough — how we divide it can make or break our model’s performance. This is where the concepts of training set, validation set, and test set come i...

Understanding Overfitting in Machine Learning

Machine learning

Often in Machine Learning, we feed a huge amount of data to an algorithm that then learns how to classify that input based on rules it creates. The data we feed into this algorithm, thetraining data, is hugely important....

What are Chatbots

Machine learning

From the customer support dialog boxes you find on e-commerce websites to virtual assistants like Siri and Alexa, it’s likely that you’ve encountered chatbots frequently in your everyday life. Like its name suggests, a c...

What are Neural Networks?

Machine learning

As you are reading this article, the very same brain that sometimes forgets why you walked into a room is magically translating these pixels into letters, words, and sentences — a feat that puts the world’s fastest super...