ParthforCOPS IIT BHUblogs.copsiitbhu.co.in·Dec 17, 2024Rise of XG Boost : Tree Trimming TalesThe world of Machine Learning has been developing for quite some time now , but one of the major breakthroughs in this dynamic field was the invention of XGBoost . The birth of Gradient boosting took place in 1999-2000 which starting the chain reacti...6 likes·152 readsXgboost
Fatima Jannetmahia.hashnode.dev·Nov 27, 2024ML chapter 10: Model Selection & BoostingWelcome to the final part of our journey. After we built our Machine Learning models, I guess we still have some questions: How do we handle the bias-variance tradeoff when building a model and checking its performance? How do we pick the best valu...10 likes·29 readsMachine Learning (Python)Xgboost
Yash Shirsathyashashirsath.hashnode.dev·Oct 16, 2024Unveiling Microbusiness Dynamics - A Data-Driven Approach to Forecasting and AnalysisIn the rapidly evolving landscape of small businesses, microbusinesses are vital drivers of innovation, job creation, and economic growth. These small-scale enterprises often serve as the backbone of local economies, providing opportunities in region...10 likesTime Series Forecasting
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
Anix Lynchgozeroshot.dev·Oct 3, 202420 Xgboost concepts with Before-and-After Examples1. DMatrix (Efficient Data Structure) 📊 Think of DMatrix like a well-organized filing system 📂 for XGBoost. Imagine you’re running a race 🏃♂️, and you have all the tools you need, but they’re scattered everywhere. You waste time searching for the...Xgboost
Gayathri Selvaganapathiaienthusiast.hashnode.dev·Aug 30, 2024Predicting Customer Churn Using XGBoost: A Comprehensive GuideTable of Contents Introduction Understanding the Dataset Setting Up the Environment Clone the GitHub Repository Install Dependencies Load the Dataset Run the Jupyter Notebook 4. Data Preprocessing Handling Missing Data and Categorical Var...Customer Experience
Gayathri Selvaganapathiaienthusiast.hashnode.dev·Aug 29, 2024Predicting Energy Consumption Using Time Series ForecastingTable of Contents Introduction Understanding Time Series Data Project Overview Data Preparation Loading and Inspecting the Data Visualizing the Data 5. Feature Engineering Extracting Time-Based Features Implementing Feature Engineering ...Time Series Forecasting
Sai Aneeshlhcee3.hashnode.dev·Aug 15, 2024PerceptronsThe perceptron, a foundational concept in artificial intelligence, was introduced by Frank Rosenblatt in the 1950s. It's a simplified model of a biological neuron, designed to mimic the human brain's ability to learn and make decisions. A perceptron ...Perceptron
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
Md Shahriyar Al Mustakim Mitulmitul-shahriyar.hashnode.dev·Aug 8, 2024Machine Learning : Model Selection Techniques, XGBoost (Part 34)Till now, we have been dividing our main dataset to Training Set and Test set Let's now split the Training set to 10 parts Then what we're going to do is we're going to train the data on nine of these folds and keep one fold as an unseen fold for v...ML From scratch to ExpertML Model selection
