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GitHub topics: ridge-and-lasso-regression

sabin74/wine_quality_prediction

Predict the quality of red wine based on physicochemical features using various regression models including Linear Regression, Ridge, Lasso, Random Forest, and XGBoost. The project also includes hyperparameter tuning and model export capabilities.

Language: Jupyter Notebook - Size: 7.84 MB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

Armin-Abdollahi/Machine-Learning

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 0

Yarlagadda-saimanoj/WineQualityPredictor-ML

WineQualityPredictorML is a comprehensive machine learning toolkit for predicting and assessing wine quality. Explore advanced regression models, SVM, and decision trees for insightful wine quality analysis.

Language: Jupyter Notebook - Size: 14.7 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Related Keywords
ridge-and-lasso-regression 3 linear-regression 2 logistic-regression 1 naive-bayes 1 polynomial-regression 1 principal-component-analysis 1 q-learning 1 random-forests 1 self-training 1 support-vector-machines 1 t-sne 1 classification 1 classification-models 1 decision-tree-regression 1 ml 1 ml-prediction 1 svm-model 1 k-nearest-neighbors 1 k-means-clustering 1 hierarchical-clustering 1 gradient-boosting 1 gaussian-mixture-models 1 deep-q-networks 1 decision-trees 1 dbscan-clustering 1 autoencoder 1 xgboost 1 wine-quality-prediction 1 uci-machine-learning 1 scikit-learn 1 random-forest-regression 1 python 1