Fatima Jannetmahia.hashnode.dev·Oct 29, 2024ML Classification: K-NN (K-Nearest Neighbor)Hello and welcome back to the ML blogs. Today we will learn about the K nearest neighbor. Let’s get started! Intuition Let’s say you have a plot where you have two types of category, red data and green data. Now, if a new data point appears where sho...Discuss·28 readsMachine Learning (Python)K-NN
Victor Uzoagbavictoru.hashnode.dev·Oct 29, 2024From Jupyter to Production: Streamlining ML Workflows in Saturn CloudAs machine learning (ML) workflows mature, so does the need for efficient, scalable production processes. While Jupyter notebooks have revolutionized the ML development phase, transitioning from experimentation to production presents unique challenge...Discussmachine learning models
Victor Uzoagbavictoru.hashnode.dev·Oct 28, 2024Building an ML Pipeline with Kubeflow: From Development to ProductionMachine Learning (ML) workloads in production require robust, scalable, and maintainable pipelines. Kubeflow provides a comprehensive solution for deploying ML workflows on Kubernetes, enabling data scientists and ML engineers to focus on model devel...DiscussMachine Learning
Fatima Jannetmahia.hashnode.dev·Oct 26, 2024Machine Learning Regression Model Selection in PythonHello, welcome back to ML! So far, we have covered regressions, and this blog is about choosing the right regression model. Which one should you apply to your model? Which one you should choose? You'll find all your answers in this blog. I can confid...Discuss·37 readsMachine Learning (Python)Python
Fatima Jannetmahia.hashnode.dev·Oct 25, 2024Machine Learning Chapter 2.6: Random Forest RegressionHello and welcome back to Machine Learning! Today, we'll learn about the intuition behind random forests and how to apply them step by step in Python. Let's get started. This will be our final blog on regression. Intuition Random forest is a version ...Discuss·55 readsMachine Learning (Python)Python
Fatima Jannetmahia.hashnode.dev·Oct 25, 2024Machine Learning Chapter 2.5: Decision Tree RegressionWelcome to another blog on Machine Learning! Today we are going to have a look at the Decision Tree Regression. Intuition There is a term called CART which stand for classification and regression tree. In this blog we’ll talk mostly about regression ...DiscussMachine Learning (Python)ML
Fatima Jannetmahia.hashnode.dev·Oct 23, 2024Machine Learning Chapter 2.4: Support Vector Regression (SVR)Welcome to Machine Learning! Support vector regression was created in the 90s by Vladimir Vapnik and his team at Bell Labs, which was known as AT&T Bell Labs back then. But for now, we'll focus just on linear regression. Let's get started! SVR Intuit...DiscussMachine Learning (Python)Machine Learning
Victor Uzoagbacyberfriend.hashnode.dev·Oct 23, 2024The Role of Artificial Intelligence and Machine Learning in CybersecurityIntroduction As the scale and complexity of cyber threats are highly evolving, the urgency felt for coming up with sophisticated solutions has been becoming more pressing. Now, come two game-changing technologies, artificial intelligence and machine ...DiscussArtificial Intelligence
Fatima Jannetmahia.hashnode.dev·Oct 22, 2024Machine Learning Chapter 2.3: Polynomial RegressionWelcome back to Machine Learning! Today we’ll talk about Polynomial Regression Polynomial Regression Intuition If you look carefully, polynomial regression is very similar to the multiple linear regression. But, instead of different variable, x1 is d...Discuss·37 readsMachine Learning (Python)Data Science
Al Shahriar Abidshahriarabid.hashnode.dev·Oct 18, 2024Simple Linear Regression: A Beginners Guide.Hi there! If you’re new to machine learning, like me, one of the first topics you will encounter is Simple Linear Regression. It is used to predict a variable based on another variable. $$\hat{y} = b _ { 0 } + b _ { 1 } X _ { 1 }$$Here: y hat = Depe...DiscussGeneral Programming
