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gbt
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Sequential skip prediction using deep learning and ensembles
Apache Spark machine learning project using pyspark
Branch Predictor is a C# program that runs a gshare branch prediction simulation, according to a specified number of Global Buffer Table (GBT) and Global History Record (GHR) bits. 2019.
Robishaw/Heiles SToKes IDL package to process single-dish spectropolarimetric radio astronomical data.
Predicting House Prices using Linear Regression, Random Forest and GBT Regression
Exploration of Boosting Algorithms in Machine Learning: This repository hosts a seminar paper examining key boosting algorithms like AdaBoost, Gradient Boosting, and XGBoost. It includes theoretical insights, practical applications, and comparative analyses, providing a comprehensive understanding of boosting techniques in ML.
Capstone Project 2023-2024: Calculating logarithmic stellar masses for supernova host galaxies through photometry of unWISE imaging.
FEM implementation of GBT for analysis of thin-walled curved pipe members
is a cutting-edge application that leverages the power of GPT and Gemini APIs to provide seamless language translation capabilities. This project automatically detects the language of the input text and allows users to easily swap between multiple languages.
Learn how to create a regression model with PySpark. First, we will do data cleaning and data engineering, then I´ll show you how to use GridSearch and Cross Validation to calculte the R2-Score of a GBTRegressor Model
FEM implementation of GBT for analysis of thin-walled straight pipe members
Implemented KNN, SVM (with RBF kernel), GBT, and XGBoost, explaining their mathematical foundations and practical applications through numerical examples and performance comparisons.