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GitHub topics: regularization-to-avoid-overfitting

aufahuhs/Advanced-Machine-Learning-Personal-Project

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)

Size: 1.95 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

harmanveer-2546/Guide-to-Regularization

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.

Language: Jupyter Notebook - Size: 879 KB - Last synced at: 29 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

maheera421/Supervised-Machine-Learning

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

Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

mohadeseh-ghafoori/Coursera-Machine-Learning-Specialization

Language: Jupyter Notebook - Size: 45.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 7 - Forks: 6

sabrid369/BFMD-SN-U-net

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

Language: Python - Size: 110 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

Sohoxic/Supervised-Machine-Learning-Regression-and-Classification

This repository is beginner-friendly for ML and contains all the codes related to the Course: Supervised Machine Learning Regression and Classification in Coursera

Language: Jupyter Notebook - Size: 211 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Ryota-Kawamura/Machine-Learning-Specialization

#BreakIntoAI with Machine Learning Specialization. Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng

Language: Jupyter Notebook - Size: 35.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

Related Keywords
regularization-to-avoid-overfitting 7 gradient-descent 4 linear-regression 4 numpy 3 matplotlib 3 supervised-learning 3 logistic-regression 3 regularization 2 cost-function 2 feature-engineering 2 feature-scaling 2 xgboost 2 machine-learning 2 python 2 classification 2 computer-aided-diagnosis 1 channel-attention 1 bfmd-sn-u-net 1 deep-neural-networks 1 batch-normalization 1 standard-normal 1 sklearn 1 polynomial-regression 1 mean-normalization 1 learning-curve 1 gci-cbam 1 instance-normalization 1 unsupervised-learning 1 tree-ensembles 1 tensorflow 1 reinforcement-learning 1 recommender-systems 1 neural-networks 1 decision-trees 1 collaborative-filtering 1 anomaly-detection 1 advice-for-model-development 1 logistic-regression-for-classification 1 u-net 1 spatial-attention 1 segmentation 1 retinal-vessel-segmentation 1 normalization 1 medical-imaging 1 medical-image-segmentation 1 layer-normalization 1 cross-validation 1 decisiontreeclassifier 1 fall-detection 1 gridsearch 1 gridsearchcv 1 lasso 1 multipleline 1 neural-network 1 regularization-hyperparameters 1 sklearn-tree 1 generalization 1 inline 1 l1 1 l2 1 overfitting 1 overfitting-prevention 1 overfitting-reduced 1 pandas 1 regularization-methods 1 regularization-techniques 1 seaborn 1 classification-models 1 linear-function 1 logistic-loss 1 regression-models 1 scikit-learn 1 sigmoid-function 1 squared-error-cost-function 1 vectorization 1 contour-plot 1 decision-boundary 1 feature-mapping 1