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Caret Package - A Complete Guide to Build Machine Learning in R
Caret Package - A Complete Guide to Build Machine Learning in R

Credit Card Fraud Detection Using Common Supervised Learning Algorithms​ |  Zuzanna Liberto
Credit Card Fraud Detection Using Common Supervised Learning Algorithms​ | Zuzanna Liberto

generalized additive model - mgcv bam() summary tables differ by computer  RAMs - Cross Validated
generalized additive model - mgcv bam() summary tables differ by computer RAMs - Cross Validated

Caret Package - A Complete Guide to Build Machine Learning in R
Caret Package - A Complete Guide to Build Machine Learning in R

Predictive Modeling Workshop
Predictive Modeling Workshop

5 Model Training and Tuning | The caret Package
5 Model Training and Tuning | The caret Package

Error metrics for multi-class problems in R: beyond Accuracy and Kappa |  R-bloggers
Error metrics for multi-class problems in R: beyond Accuracy and Kappa | R-bloggers

A stacking ensemble deep learning approach to cancer type classification  based on TCGA data | Scientific Reports
A stacking ensemble deep learning approach to cancer type classification based on TCGA data | Scientific Reports

IJGI | Free Full-Text | Multi-Scale Flood Mapping under Climate Change  Scenarios in Hexagonal Discrete Global Grids
IJGI | Free Full-Text | Multi-Scale Flood Mapping under Climate Change Scenarios in Hexagonal Discrete Global Grids

Machine learning in medicine: a practical introduction to techniques for  data pre-processing, hyperparameter tuning, and model comparison | BMC  Medical Research Methodology | Full Text
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison | BMC Medical Research Methodology | Full Text

IJGI | Free Full-Text | Multi-Scale Flood Mapping under Climate Change  Scenarios in Hexagonal Discrete Global Grids
IJGI | Free Full-Text | Multi-Scale Flood Mapping under Climate Change Scenarios in Hexagonal Discrete Global Grids

Chapter 53 Supervised Statistical Learning Using Lasso Regression | R for  HR: An Introduction to Human Resource Analytics Using R
Chapter 53 Supervised Statistical Learning Using Lasso Regression | R for HR: An Introduction to Human Resource Analytics Using R

Chapter 7. Learning (II): SVM & Ensemble Learning | Data Analytics: A Small  Data Approach
Chapter 7. Learning (II): SVM & Ensemble Learning | Data Analytics: A Small Data Approach

Revolutions: packages
Revolutions: packages

Segmentation: Clustering and Classification | SpringerLink
Segmentation: Clustering and Classification | SpringerLink

Random Forests
Random Forests

Exploratory Data Analysis in R: Data Summarising, Visualization, and  Predictive Model – Regenerative
Exploratory Data Analysis in R: Data Summarising, Visualization, and Predictive Model – Regenerative

Logistics in Poultry. Predicting when birds should be send to… | by Dr.  Marc Jacobs | MLearning.ai | Medium
Logistics in Poultry. Predicting when birds should be send to… | by Dr. Marc Jacobs | MLearning.ai | Medium

Linear latent variable models: the lava-package | SpringerLink
Linear latent variable models: the lava-package | SpringerLink

Find the best predictive model using R/caret package/modelgrid |  DataScience+
Find the best predictive model using R/caret package/modelgrid | DataScience+

August | 2016 | educational research techniques
August | 2016 | educational research techniques

Diffusion-Weighted Imaging | SpringerLink
Diffusion-Weighted Imaging | SpringerLink

RPubs - Document
RPubs - Document

Compare The Performance of Machine Learning Algorithms in R -  MachineLearningMastery.com
Compare The Performance of Machine Learning Algorithms in R - MachineLearningMastery.com

5 Model Training and Tuning | The caret Package
5 Model Training and Tuning | The caret Package

Food Fraud Prevention Overview (Part 2 of 3): The Approach | SpringerLink
Food Fraud Prevention Overview (Part 2 of 3): The Approach | SpringerLink

How to work out Multiple R-Squared from the summary of a linear model in R  - Cross Validated
How to work out Multiple R-Squared from the summary of a linear model in R - Cross Validated

Chapter 3 Classification: Basic Concepts and Techniques | An R Companion  for Introduction to Data Mining
Chapter 3 Classification: Basic Concepts and Techniques | An R Companion for Introduction to Data Mining