#自然语言处理#[ACL2023] We introduce LLM-Blender, an innovative ensembling framework to attain consistently superior performance by leveraging the diverse strengths of multiple open-source LLMs. LLM-Blender cut the...
Neural Networks ensemble via majority voting in order to classify ships given non-satellite images. All the models have been trained using PyTorch with pretrained weights.
#计算机科学#Comparison of classifier Algorithms on Diabetes Health Indicators Dataset.
#计算机科学#This project aims to build a regression model that predicts the number of views for TED Talks videos on the TED website.
#计算机科学#Regression-PrediksiHargaRumahBoston-kaggle-ensamblemodel-supervisedlearning
Price prediction and appartments recommendation
#计算机科学#Comparison of classifier Algorithms on bank marketing Dataset
The AdaBoost (Adaptive Boosting) algorithm is a popular ensemble method used in machine learning to improve the performance of weak classifiers. It combines multiple weak classifiers to create a stron...
#计算机科学#Predicting potential donors using various machine learning models for Charity
This project employs machine learning algorithms to predict customer churn by analyzing historical customer data. It provides actionable insights to enhance customer retention. The models were fine-tu...
#时序数据库#Ensamble Voting for Financial Time Series
Random Forest library university project
#计算机科学#Various scripts for machine learning
#计算机科学#Project on Trend Analysis on Pest Occurrence Using Meteorological Data - Information Systems and Business Intelligence (MEng), supervised by Prof. F. Amato, PhD A. Moccardi and PhD M. Fonisto (2024)
This project is an end-to-end machine learning solution to predict student performance using key features like study time and test scores. It includes exploratory data analysis, model training, and a ...
#计算机科学#The dataset belongs to a competition hosted on Kaggle https://www.kaggle.com/competitions/mlcourse-dota2-win-prediction, the goal of which is to build a classifier model that predicts which of the tea...
Regression exercises and projects done at alx training
#计算机科学#Credit Risk Analysis utilizing imbalanced classification machine learning models
#计算机科学#create a model capable of predicting the patient's age group through chest X-rays.