Projects in Awesome Lists tagged with stacking-ensemble
A curated list of projects in awesome lists tagged with stacking-ensemble .
https://github.com/alex-lekov/automl_alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Last synced: 05 Apr 2025
https://github.com/Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Last synced: 13 Jul 2025
https://github.com/business-science/modeltime.ensemble
Time Series Ensemble Forecasting
ensemble ensemble-learning forecast forecasting modeltime r-package stacking stacking-ensemble tidymodels time time-series timeseries
Last synced: 07 Apr 2025
https://github.com/sibirbil/less
Learning with Subset Stacking
classification machine-learning meta-learning regression stacking-ensemble subset-selection
Last synced: 21 Oct 2025
https://github.com/dalageo/ml-titanicshipwreck
Exploring the World's Most Renowned Shipwreck 🚢
data-science decision-tree-classifier logistic-regression machine-learning python random-forest-classifier scikit-learn stacking-ensemble titanic-dataset xgboost-classifier
Last synced: 04 Sep 2025
https://github.com/ankitjha2202/wind-power-prediction
Wind Power Prediction using Stacking Ensemble Machine Learning Algorithm
jupyter-notebook machine-learning stacking-ensemble
Last synced: 09 Oct 2025
https://github.com/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.
binary-classification catboost classification-models customer-churn-prediction ensemble-classifier hyperparameter-optimization kaggle lightgbm optuna pandas-python scipy stacking-ensemble xgboost
Last synced: 27 Sep 2025
https://github.com/prneidhardt/ensemble-learning
EasyVisa Project
bagging-ensemble boosting-ensemble stacking-ensemble
Last synced: 25 Apr 2025
https://github.com/pythondeveloper6/ensemble-learning-beginner-guide
machine learning ensemble learning types in easy steps with examples
bagging-ensemble decision-trees ensemble-learning knn-classification logistic-regression machine-learning numpy random-forest stacking-ensemble svc voting-classifier
Last synced: 30 Jun 2025
https://github.com/vasilikizarkadoula/machine-learning-auth-2021
Εxercises for Machine Learning course in Faculty of Informatics of Aristotle's University of Thessaloniki
decision-trees ensemble-classifier logistic-regression machine-learning stacking-ensemble voting-ensemble
Last synced: 18 May 2026
https://github.com/montanaz0r/kaggle-house-prices-advanced-regression-techniques
Full data science project workflow that placed me in the top 5% of all competitors (0.11931).
data-science jupyter-notebook kaggle kaggle-competition lightgbm machine-learning pandas python3 regression-models seaborn stacking-ensemble xgboost
Last synced: 14 Apr 2026
https://github.com/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
binary-classification binary-classifiers data-science jupyter-notebook machine-learning pandas python scikit-learn sklearn stacking-ensemble streamlit streamlit-webapp
Last synced: 13 Apr 2025
https://github.com/luluw8071/laptop-price-prediction
A collection of machine learning models for predicting laptop prices
adaboost-regressor decision-tree-regression ensemble-learning extra-tree-regressor gradient-boosting-regressor knn-regression laptop-price-prediction lasso-regression machine-learning multiple-linear-regression python random-forest-regression ridge-regression sckiit-learn stacking-ensemble streamlit svm-regressor voting-regressor xgboost-regression
Last synced: 11 Apr 2026
https://github.com/linggarm/ensemble-learning-comparison-on-diabetes-classification
Comparison of ensemble learning methods on diabetes disease classification with various datasets
adaboost bagging bagging-ensemble boosting boosting-ensemble cat-boost diabetes-prediction ensemble-learning ensemble-machine-learning ensemble-methods extreme-gradient-boosting gradient-boosting light-gradient-boosting-machine machine-learning python stacking stacking-ensemble
Last synced: 27 Apr 2026
https://github.com/somjit101/nlp-casestudy-personalized-cancer-diagnosis
In this problem statement, a sequence of genetic mutations and clinical evidences, i.e. descriptive texts as recorded by domain experts are used to classify the mutations to conclusive categories, to be used for diagnosis of the patient.
cancer-diagnosis ensemble-learning ensemble-model hyperparameter-tuning k-nearest-neighbours linear-svm logistic-regression majority-voting model-calibration multinomial-naive-bayes naive-bayes-classifier natural-language-processing nlp nlp-machine-learning random-forest-classifier response-coding stacking-ensemble svm-classifier text-processing
Last synced: 19 Jun 2026
https://github.com/nabilalibou/uber_fare_prediction_explained
This repository documents a complete ML workflow to model Uber fares in Paris, from granular EDA and feature engineering to building and fine-tuning a stacking regressor on 10k real-world rides.
data-analysis data-science eda feature-engineering machine-learning predictive-analytics pricing-model python regression-model stacking-ensemble uber
Last synced: 12 Aug 2025
https://github.com/habedi/stacking-framework-for-lwpwq-kc
A stacking framework for the Linking Writing Processes to Writing Quality Kaggle competition
kaggle kaggle-competition machine-learning python stacking-ensemble
Last synced: 29 Apr 2026
https://github.com/richasavant/stock-market-analysis-a-two-stage-comparative-stacking-approach-using-pyspark-jan_2024
This project aims to enhance the accuracy and efficiency of stock market predictions by employing a sophisticated machine learning methodology. This project leverages the power of PySpark, a robust framework for distributed data processing, to handle large datasets and perform complex computations.
decision-trees gradient-boosting linear-regression machine-learning mae pyspark r-squared random-forest rmse stacking-ensemble stock-market stock-market-analysis stock-market-prediction
Last synced: 07 Mar 2026
https://github.com/avd1729/credit-classification
Credit-classification using Stacking Classifier
random-forest stacking-ensemble
Last synced: 17 Jan 2026
https://github.com/mrtejas/ml-algos
A collection of fundamental Machine Learning Algorithms Implemented from scratch along-with their applications for various ML tasks like clustering, thresholding, data analysis, prediction, regression and image classification.
adaboost bagging-ensemble decision-trees gmm-clustering gradient-boosting hidden-markov-models kernel-density-estimation knn-classification machine-learning mlp-classifier mlp-regressor multinomial-logistic-regression pca-analysis random-forest stacking-ensemble
Last synced: 15 May 2025
