Yash ShirsathforYash Shirsath's Blogyashashirsath.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...Discuss·10 likesTime Series Forecasting
Omkar KastureforOmkar Kasture Blogsomkarkasture.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...Discuss·5 likesThe Ultimate Machine Learning Guidedecisiontree
Anix LynchforAnix Lynchanixblog.hashnode.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...DiscussXgboost
Gayathri SelvaganapathiforGayathri 's blogaienthusiast.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...DiscussCustomer Experience
Gayathri SelvaganapathiforGayathri 's blogaienthusiast.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 ...DiscussTime Series Forecasting
Sai AneeshforSai Aneesh's Bloglhcee3.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 ...DiscussPerceptron
Niladri DasforOptimize Coding.niladridas.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...DiscussInterpretable
Md Shahriyar Al Mustakim Mitulformitul-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...DiscussML Model selection
Sujit NirmalforBasics To get started with MLblackshadow.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...Discuss#Finetuning Models
Sanika NandpureforNotes on AI Researchsanikanandpure.hashnode.dev·May 19, 2024decision tree boosting and xgboostBoosting is a way of making decision tree ensembles both more efficient as well as more accurate. It derives from a practice that you may be already familiar with known as deliberate practice. When preparing for a test, it is often a smart practice t...DiscussXgboost
