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...Discussknn
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
LAKSHMI PRABHA Slakshmiprabha.hashnode.dev·Apr 5, 2024A Journey into the World of Intelligent Algorithms☄️Hey guys , this the blog on machine learning I hope you'll enjoy the jounery of learning🎯 INTRODUCTION: Imagine a world where computers 🖥️can learn from experience, just like humans, and make decisions without being explicitly programmed for every ...Discuss·2 likes·36 readsMachine Learning
Retzam Tarleretzam.hashnode.dev·Mar 25, 2024Supervised Learningprint("Supervised Learning") Supervised Learning is a type of machine learning task that uses labeled input data to train a model. Several inputs pass through a model to predict an output. Here input data is the data used to train the model and outpu...Discuss·54 readsfeature vectors
SHREYAS GANDHIshreyas0607.hashnode.dev·Mar 13, 2024Rock Vs Mine Prediction Using Machine LearningIn this project, we're leveraging logistic regression for a specific task: predicting whether an object is a rock or a mine. This endeavor falls under supervised learning, meaning we have labeled data to train our model. Throughout this process, main...Discuss·3 likesMachine Learning
Kunal Kumar Sahookunalkumarsahooai.hashnode.dev·Mar 13, 2024Support Vector Machines: A Mathematician's PerspectiveIntroduction Support Vector Machines (SVMs) represent a class of supervised learning models widely used for classification and regression tasks. Formulated within the framework of statistical learning theory, SVMs offer a robust approach to delineate...Discuss·1 likeMachine 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
Aayushman Sharmabytebrew.hashnode.dev·Mar 6, 2024Introduction to Machine LearningAt the heart of artificial intelligence (AI) lies machine learning (ML), a subfield dedicated to building systems that learn and improve based on data. AI, in its broader sense, encompasses any system mimicking human intelligence, while ML focuses sp...Discuss·11 likes·29 readsMachine Learning Machine Learning
misbamishba.hashnode.dev·Mar 3, 2024Types of Machine Learning ModelsBefore diving into the different types of machine learning models, it's important to understand what machine learning is and some key terminology. In simple terms, Machine learning = machine learning refers to the process of computers learning from d...Discuss·6 likesAI/MLMachine Learning
Ridwan Ibidunnialjebraschool.hashnode.dev·Mar 2, 2024Machine LearningAssuming you are a member of the admissions committee at a university, a student's acceptance hinges on two scores: their test results and their grades. These two scores are also known as the determining factors, or more formally, input features, whi...Discuss·1 like·148 readsMachine LearningMachine Learning
