C. Emmanuel Onyemaceonyema.hashnode.dev·Dec 8, 2024Harnessing Machine Learning to Predict and Analyze Diabetes Risk : A Project OverviewIntroduction Diabetes mellitus is a significant global health challenge, affecting millions of people every year. Early detection and prediction are critical for timely intervention and effective management. This project leverages machine learning (M...10 likesMachine Learning
Anix Lynchgozeroshot.dev·Nov 5, 2024Part 2: 10 Advanced ML and Ensemble Methods with Math Notation Friendly Explained1. k-Means Clustering k-Means Clustering is an unsupervised learning algorithm used for grouping data points into \( k \) clusters based on their similarity. The algorithm works by assigning each data point to the nearest cluster center, then adjusti...K-mean
Advaityoadvait.hashnode.dev·Oct 26, 2024LyricsAnalyzer : Song Analysis with NLPStructure Introduction The Mission Building the NLP Pipeline Regression Modelling Project Pipeline and Future Scope Conclusion Introduction Being involved in music and machine learning, I have always been intrigued by the integration of these...41 readsnlp
Omkar Kastureomkarkasture.hashnode.dev·Oct 9, 2024Decision Tree- Part 3: Ensemble MethodsIn previous parts of decision trees, we explored what are decision trees and how they can be used for regression as well as classification. In this blog we will see the problem with normal classification tree, and how to overcome it using various ens...5 likesThe Ultimate Machine Learning Guidedecisiontree
Niladri Dasniladridas.hashnode.dev·Aug 11, 2024Everything You Need to Know About XGBoostXGBoost (eXtreme Gradient Boosting) is a popular open-source machine learning library that provides a scalable and efficient way to perform gradient boosting. It works on Linux, Microsoft Windows, and macOS. It's widely used for classification and re...Interpretable
Sujit Nirmalblackshadow.hashnode.dev·Jul 26, 2024Mastering XGBoost: A Comprehensive Guide to Hyperparameter TuningIntroduction Welcome back, fellow data enthusiasts! In our last blog, we explored the intricacies of hyperparameter tuning in Gradient Boosting Machines (GBM). Today, we are going to take a step further and dive into XGBoost (Extreme Gradient Boostin...#xgboosting
Sujit Nirmalblackshadow.hashnode.dev·Jul 26, 2024Hyperparameter Tuning in Gradient Boosting: Best Practices and Common PitfallsIn our previous blog, we explored the fundamentals of the gradient boosting algorithm, a powerful ensemble technique used for both classification and regression tasks. Now, let's dive deeper into the topic by discussing hyperparameter tuning, which i...#fine Tuning models
Sujit Nirmalblackshadow.hashnode.dev·Jul 18, 2024How Gradient Boosting Machines Work: A Machine Learning OverviewIntroduction Gradient Boosting Machines (GBM) are a powerful ensemble learning technique that builds models sequentially, with each new model correcting the errors of the previous ones. This method is highly effective for both classification and regr...#Finetuning Models
Richard Mulvanyrichmulvany.hashnode.dev·Jul 12, 2024What I've Been Up ToI wanted to share some exciting updates about a project I've been working on with a couple of my classmates. We've been diving deep into the world of healthcare and machine learning, specifically focusing on predicting the length of stay (LOS) for ho...Machine Learning
K Ahameddatailm.hashnode.dev·Jan 11, 2024Harmonizing Predictive Power: Unleashing the Magic of Ensemble MethodsMachine learning has revolutionized the way we approach complex problems, offering unprecedented insights and solutions across various domains. One key challenge in the field is to build models that not only generalize well but also exhibit robustnes...Machine Learningensemble methods
