hold-out-cross-validation

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Pradnya1208 /Cross-Validation-techniques

This project aims to understand and implement all the cross validation techniques used in Machine Learning.

monte-carlo cross-validation leave-one-out-cross-validation loocv k-fold-cross-validation stratified-cross-validation hold-out-cross-validation

UpdatedJan 21, 2022
Jupyter Notebook

AmishaMurarka /Facebook-Comment-Volume-Prediction

Star0

Data in the social networking services is increasing day by day. So, there is heavy requirement to study the highly dynamic behavior of the users towards these services. The task here is to estimate the comment count that a post is expected to receive in next few(H) hours. Data has been scraped from one of the most popular social networking site…

python machine-learning linear-regression regression-models facebook-comments random-forest-regressor root-mean-squared-error-metric decision-tree-regressor grid-search-hyperparameters sklearn-library research-paper-implementation mean-squared-error grid-search-cross-validation xgb-regressor hold-out-cross-validation

UpdatedAug 8, 2022
Jupyter Notebook

edwinthomas444 /machine-learning

Star0

e2e machine learning pipeline using a config based approach for classification problems. Supports grouping and grading classifiers in addition to online learning algorithms

machine-learning-algorithms support-vector-machine decision-tree-classifier online-learning model-evaluation gradient-boosting knearest-neighbor-classifier random-forest-classifier drift-detection streaming-data-processing k-fold-cross-validation bagging-ensemble roc-auc-curve hold-out-cross-validation

UpdatedDec 25, 2022
Python

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