Classification

It isn’t labeled ‘Target_Variable’ in your Production Database!Photo by Kenny Eliason on UnsplashWhat Is a Target Variable?A target variable is the variable or metric you’re trying to predict with a supervised machine learning model. It is also often called the dependent variable, the response variable, the ‘y’ variable, or even simply the model output.Regardless of which term you prefer (or were made to use in statistics class), this is the most important variable in any supervised modeling project. While this is obvious…

Twitch has overhauled its mature content policies, switching from a general toggle to specific categories describing what viewers can expect. The new Content Classification Labels are mature-rated games, sexual themes, significant profanity or vulgarity, gambling, violent and graphic depictions and, lastly, drugs, intoxication or excessive tobacco use. The ratings apply to both the game and you. For example, if you're playing a mature-rated game, Twitch will automatically label it as such. But, if you're playing an…

The majority of people in today’s society own a mobile phone, and they all frequently get communications (SMS/email) on their phones. But the key point is that some of the messages you get may be spam, with very few being genuine or important interactions. You may be tricked into providing your personal information, such as your password, account number, or Social Security number, by scammers that send out phony text messages. They may be able to access your bank, email, and other accounts if they obtain this information.…

In machine learning, prediction is a critical component. It is the process of using a trained model to make predictions on new data. PyTorch is an open-source machine learning library that allows developers to build and train neural networks. One common use case in PyTorch is using linear classifiers for prediction tasks. In this article, we will go through the steps to build a linear classifier in PyTorch and use it to make predictions on new data.Linear Classifier:A linear classifier is a type of machine learning model…

Say hello to classification algorithms! The idea of Classification Algorithms is pretty simple. You predict the target class by analyzing the training dataset. This is one of the most — if not the most essential — concepts you study when you learn data science. You might also like:  Top Machine Learning Algorithms You Should Know to Become a Data Scientist What Is Classification?  We use the training dataset to get better boundary conditions that could be used to determine each target class. Once the boundary…

What Is Text Classification? Text classification is a machine learning subfield that teaches computers how to classify text into different categories. It's commonly used as a supervised learning technique, which means that the algorithm is trained on a set of texts that have already been labeled with their respective categories. Once it's been trained on this data, the algorithm can use what it's learned to make predictions about new, unlabeled texts. The algorithm looks for patterns in the text to determine which…

The first metric we take into account is accuracy. Let’s see the formula:The formula of accuracy written by the Author on embed-dot-fun.So, accuracy is a measure of how often our ML model is correct in its predictions.For example, let’s say we have a dataset of emails that are labeled as either spam or not spam. We can use ML to predict whether new emails are spam or not. If the model correctly predicts that 80 out of 100 emails are spam, and correctly predicts that 90 out of 100 emails are not spam, then its accuracy…

Before we touch anything, let’s set ourselves up for success and fix the random seeds to ensure reproducible results.import randomdef set_seed(seed=1234):random.seed(seed)os.environ = str(seed)np.random.seed(seed)# In general seed PyTorch operationstorch.manual_seed(seed)# If you are using CUDA on 1 GPU, seed ittorch.cuda.manual_seed(seed)# If you are using CUDA on more than 1 GPU, seed them alltorch.cuda.manual_seed_all(cfg.seed)# Certain operations in Cudnn are not deterministic, and this line will force them to…

A comprehensive (and colorful) guide to everything you need to know about evaluating classification modelsI realized through my learning journey that I’m an incredibly visual learner and I appreciate the use of color and fun illustrations to learn new concepts, especially scientific ones that are typically explained like this:Image by authorFrom my previous articles, through tons of lovely comments and messages (thank you for all the support!), I found that several people resonated with this sentiment. So I decided to…

A comprehensive guide covering the most commonly used evaluation metrics for supervised classification and their utility in different scenariosImage by the Author.In order to properly evaluate a classification model, it is important to carefully consider which evaluation metric is the most suitable.This article will cover the most commonly used evaluation metrics for classification tasks, including relevant example cases, and will provide you with the information necessary to help you choose among them.A classification…