Nested Cross-Validation for Bayesian Optimized Gradient Boosting
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Updated
Apr 7, 2020 - Python
Nested Cross-Validation for Bayesian Optimized Gradient Boosting
Ensemble Integration: a customizable pipeline for generating multi-modal, heterogeneous ensembles
Nested Cross-Validation for Bayesian Optimized Linear Regularization
Routines to perform cross-validation and nested cross-validation using data transformations
Nested cross-validation implementation for the binary classification of healthy vs. diabetic patients.
Implementation of (Kernel) Ridge Regression predictors from scratch on Kaggle's Spotify Tracks Dataset.
Hormone Therapy Decision Support System for Breast Cancer
A Knn algorithm used for train a model and prediction
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To utilize the Breast Cancer Wisconsin Dataset for machine learning purposes. The aim is to diagnose breast cancer by employing a supervised binary, distance-based classifier (K Nearest Neighbours), which will classify cases as either benign or malignant.
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This repository proposes a python implementation of a nested cross-validation pipeline compatible with scikit-learn API.
Experimenting with various implementations and methods of nested cross-validation in R and Python
Detecting anomalies (spams) by fitting several models
Using scikit-learn RandomizedSearchCV and cross_val_score for ML Nested Cross Validation
Python package customizing nested cross validation for tabular data.
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