Retzam Tarleretzam.hashnode.dev·a day agoNaive Bayes - Supervised Learning Classificationprint("Naive Bayes") Naive Bayes(NB) is a supervised learning model used for classification tasks. NB makes predictions by calculating the probability of event A happening given that B happened. To understand NB we need to first understand conditiona...Discuss·1 likenaive bayes
Retzam Tarleretzam.hashnode.dev·Apr 15, 2024K-Nearest Neighbors - Supervised Learning Classificationprint("K-Nearest Neighbors") K-Nearest Neighbors(KNN) is a supervised learning model used in classification and regression tasks. KNN makes predictions for an outcome based on its closest neighbors. For the course of this chapter, we'll be discussing...Discuss·35 readsknn
Prakhar Kumarprakhartechinsights.hashnode.dev·Apr 14, 2024Understanding Supervised Learning: A Practical Guide with Python Code ExamplesSupervised learning is a fundamental concept in machine learning where the model learns from labeled data to make predictions or classifications. In this blog post, we'll dive deep into supervised learning, exploring its principles, algorithms, and a...DiscussAI/ML Blog By PrakharRegression Algorithms
Simran Anandsimranblogss.hashnode.dev·Mar 23, 2024End to End Machine Learning Project for Spam Detection Use CaseIntroduction In the digital age, spam messages have become a persistent annoyance, infiltrating our mobile phones with unwanted and often fraudulent content. Machine learning (ML) offers a powerful solution to this problem, enabling us to automatical...Discuss·24 likes·107 readsData Science
Lakshmanlakshman007bff.hashnode.dev·Mar 21, 2024Deploying Iris Classification Model with XGBoost: Free, Instant Updates with PyScript DeploymentIntroduction Welcome to an exciting journey into deploying machine learning models with ease and efficiency! In this blog post, we'll explore how to deploy an iris classification model, built using the powerful XGBoost algorithm, for free and with in...Discuss·61 readsMachine Learning
SHREYAS GANDHIshreyas0607.hashnode.dev·Mar 11, 2024Basics of Machine Learning>>The most important thing while learning the machine learning concepts is its mathematical intuition .We come across many algorithms while exploring the field of machine learning. There are 2 types of machine learning techniques by which we try to pre...Discuss·1 likeMachine Learning
Mohsen Davarynejadfor∇ The Gradientthegradient.io·Jan 29, 2024Classification with imbalanced dataConsider the problem of predicting late passengers at the airport. Based on some statistics, only around 8% of passengers are considered late. Assuming the availability of good features like Age, Gender, Nationality, Country of residence, Walking dis...Discuss·30 likes·49 readsImbalanced
David Osharedavidoshare.hashnode.dev·Jan 22, 2024All You Need to Know About Classification and Regression Models in Machine LearningThe world of Machine Learning (ML) buzzes with terms like classification, regression, and evaluation. But what do these terms really mean? This article hopes to serve as a foundational guide, unpacking these core concepts and equipping you to navigat...DiscussPython
MD SHAUKAT ALIalimetricmind.hashnode.dev·Jan 2, 2024Supervised LearningSupervised learning is like teaching with examples. Imagine you’re showing your friend pictures of different animals and telling them what each animal is. Then, you give your friend a new picture and ask, “What animal is this?” Your friend uses what ...Discuss·10 likesSupervised learning
Mohamad MahmoodforNatural Language Tool Kit notesnltknotes.hashnode.dev·Nov 4, 20236. Learning to Classify Text8 Summary Modeling the linguistic data found in corpora can help us to understand linguistic patterns, and can be used to make predictions about new language data. Supervised classifiers use labeled training corpora to build models that predict t...Discussclassification
