stacking-ensemble
There are 112 repositories under stacking-ensemble topic.
Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
business-science/modeltime.ensemble
Time Series Ensemble Forecasting
FernandoLpz/Stacking-Blending-Voting-Ensembles
This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.
mo26-web/Induction-Motor-Faults-Detection-with-Stacking-Ensemble-Method-and-Deep-Learning
This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.
sibirbil/LESS
Learning with Subset Stacking
ds-wook/ai-hackathon
🏆데이콘 AI해커톤 대회 우수상 솔루션🏆
Hashehri/Network-Traffic-Classification-UNSW-NB15
Binary Classification for detecting intrusion network attacks. In order, to emphasize how a network packet with certain features may have the potentials to become a serious threat to the network.
nhtlongcs/cassava-leaf-disease-classification
Identify the type of disease present on a Cassava Leaf image
Dalageo/ML-TitanicShipwreck
Exploring the World's Most Renowned Shipwreck 🚢
uttej2001/Anomaly-Logs-Detection
There are many studies done to detect anomalies based on logs. Current approaches are mainly divided into three categories: supervised learning methods, unsupervised learning methods, and deep learning methods. Many supervised learning methods are used for log-based anomaly detection.
rochitasundar/Customer-profiling-using-ML-EasyVisa
The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidates more likely to have the visa certified.
Ankitjha2202/Wind-power-prediction
Wind Power Prediction using Stacking Ensemble Machine Learning Algorithm
MsTao-68/Debt-Churn-Data-Analysis
使用比赛方提供的脱敏数据，进行客户信贷流失预测。
AbhishekGit-hash/Credit-Card-Lead-Prediction
A machine learning model to predict whether a customer will be interested to take up a credit card, based on the customer details and its relationship with the bank.
ahmedshahriar/Customer-Churn-Prediction
Extensive EDA of the IBM telco customer churn dataset, implemented various statistical hypotheses tests and Performed single-level Stacking Ensemble and tuned hyperparameters using Optuna.
arash-mehrzadi/A-Stacking-Based-Model-for-Non-Invasive-Detection-of-Coronary-Heart-Disease
A Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease
Abrar2652/nlp-roBERTa-biLSTM-attention
An NLP research project utilizing the "cardiffnlp/twitter-roberta-base-sentiment-latest" pre-trained transformer for tweet tokenization. The project includes an attention-based biLSTM model that predicts sentiment labels for tweets as negative (-1), neutral (0), or positive (1).
codiceSpaghetti/VoiceVibes
VoiceVibes presents a solution for speech emotion recognition, featuring six innovative AI model architectures designed to accurately categorize emotional expressions conveyed through speech.
prneidhardt/Ensemble-Learning
EasyVisa Project
Pythondeveloper6/Ensemble-learning-beginner-guide
machine learning ensemble learning types in easy steps with examples
VasilikiZarkadoula/Machine-Learning-Auth-2021
Εxercises for Machine Learning course in Faculty of Informatics of Aristotle's University of Thessaloniki
Abdulrahmankhaled11/Stroke-Prediction-Ensemble-Learning-For-Beginners
Machine Learning Application In The Medical Field Used for predicting the occurrence of stroke for the patients depends on the patient information
ahmedshahriar/Telco-Customer-Churn-Prediction-Streamlit-App
This streamlit app predicts the churn rate using Gradient Boosting models (XGBoost, Catboost, LightGBM) on IBM Customer Churn Dataset
cnai-ds/Premium-Prediction-Natural-Hazards
Prediction of market premiums for property damage and business interruption insurance products. Added natural hazard data and stacked 3 best models as the final model.
kumaranurag7/Job-Reviews-Analysis-Prediction
Data from a website that provides job reviews. The website wants to analyze texts and the corresponding rating that is provided by the user about startups. Based on the texts, try to verify if it corresponds to the score provided by the reviewer. the task helps the website to rank user's reviews or ratings
LuluW8071/Laptop-Price-Prediction
A collection of machine learning models for predicting laptop prices
maglili/ai_cup-movie_comment
Stacking bert model for movie sentiment analysis competition.
mohit01-10/Alzheimer-s-Disease-Classification-using-Stacking-Ensembling
This project is dedicated to accurately classify Alzheimer's disease into Demented, Non-demented and Converted Category.
Montanaz0r/Kaggle-House-Prices-Advanced-Regression-Techniques
Full data science project workflow that placed me in the top 5% of all competitors (0.11931).
Bernardbyy/USD-EURCurrencyPairPrediction
A Time-Series Machine Learning project aimed at accurate predicting curreny pair exchange rates using ARIMA, SARIMA and LSTM.
kowshik14/MalHyStack_Malware-Analysis-with-Stack-Ensemble
MalHyStack is a hybrid classification model for detecting obfuscated malware in network traffic. It combines machine learning (ExtraTrees, XgBoost, Random Forest) and deep learning, using Pearson correlation for feature selection. Tested on the CIC-MalMem-2022 dataset, it outperforms existing models in both accuracy and efficiency.
lazybug19/Attester_Design
Ensemble Modelling based verifier-like Attestation Framework designed for IoT Network Security aiding in multilabel and multiclass malware detection.
maryamsoftdev/All-About-Ensemble-Learning-
learning python day 14
minakdr/Car-price-prediction-using-Stacking-ensemble-modeling-technique
This project aims to predict the selling prices of used cars based on various features such as brand, model year, mileage, and engine specifications.using-Stacking-ensemble-modeling-technique
nvlinhvn/customer-targeting-for-insurance
Identify which customer is willing to possess the insurance policy, so we campaign efficiently.
shimolina-polina/ensembles
Ensembles of machine learning models