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regularization-to-avoid-overfitting

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sabrid369 / BFMD-SN-U-net

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The open source code for the paper "Block Attention and Switchable Normalization based Deep Learning Framework for Segmentation of Retinal Vessels"

deep-neural-networks medical-imaging batch-normalization supervised-learning segmentation normalization layer-normalization u-net instance-normalization medical-image-segmentation computer-aided-diagnosis spatial-attention channel-attention retinal-vessel-segmentation regularization-to-avoid-overfitting bfmd-sn-u-net gci-cbam
  • Updated Jul 8, 2023
  • Python

Md-Emon-Hasan / Machine-Learning-Specialization

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Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng

reinforcement-learning tensorflow linear-regression collaborative-filtering supervised-learning xgboost gradient-descent unsupervised-learning recommender-systems anomaly-detection tree-ensembles regularization-to-avoid-overfitting advice-for-model-development logistic-regression-for-classification
  • Updated Sep 24, 2024
  • Jupyter Notebook

aufahuhs / Advanced-Machine-Learning-Personal-Project

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This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)

python neural-network cross-validation lasso xgboost classification fall-detection gridsearchcv decisiontreeclassifier gridsearch sklearn-tree regularization-hyperparameters regularization-to-avoid-overfitting multipleline
  • Updated Jul 3, 2025

harmanveer-2546 / Guide-to-Regularization

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Regularization is a crucial technique in machine learning that helps to prevent overfitting. Overfitting occurs when a model becomes too complex and learns the training data so well that it fails to generalize to new, unseen data.

numpy inline pandas seaborn matplotlib regularization l1 generalization l2 overfitting regularization-methods overfitting-reduced regularization-techniques regularization-to-avoid-overfitting overfitting-prevention
  • Updated Sep 8, 2024
  • Jupyter Notebook

maheera421 / Supervised-Machine-Learning

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Implementation of necessary supervised machine learning algorithms for regression and classification.

machine-learning numpy linear-regression scikit-learn classification logistic-regression matplotlib gradient-descent vectorization feature-engineering regression-models feature-scaling cost-function sigmoid-function classification-models linear-function regularization-to-avoid-overfitting logistic-loss squared-error-cost-function
  • Updated Jul 31, 2024
  • Jupyter Notebook

giacomolat / RealEstateAI-Solutions---A-forecasting-model-for-the-housing-market

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This project applies regularization techniques (Ridge, Lasso, and Elastic Net) to improve real estate price forecasting. This project focuses on reducing overfitting and increasing the stability of regression models' predictions

python numpy machine-learning-algorithms cross-validation pandas seaborn matplotlib standardization lasso-regression-model regularization-methods matplotlib-pyplot ridge-regression-model elasticnet-regression regularization-to-avoid-overfitting
  • Updated Jul 1, 2025
  • Jupyter Notebook

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