IJGI | Free Full-Text | Multi-Scale Flood Mapping under Climate Change Scenarios in Hexagonal Discrete Global Grids
August | 2016 | educational research techniques
Food Fraud Prevention Overview (Part 2 of 3): The Approach | SpringerLink
Exploratory Data Analysis in R: Data Summarising, Visualization, and Predictive Model – Regenerative
Revolutions: packages
Your First Machine Learning Project in R Step-By-Step - MachineLearningMastery.com
A stacking ensemble deep learning approach to cancer type classification based on TCGA data | Scientific Reports
5 Model Training and Tuning | The caret Package
5 Model Training and Tuning | The caret Package
A Short Introduction to the caret Package
Linear latent variable models: the lava-package | SpringerLink
RPubs - Document
Random Forests
Food Fraud Prevention Overview (Part 2 of 3): The Approach | SpringerLink
Category and the sample size of the IP dataset. | Download Scientific Diagram
Machine Learning Evaluation Metrics in R - MachineLearningMastery.com
Compare The Performance of Machine Learning Algorithms in R - MachineLearningMastery.com
IJGI | Free Full-Text | Multi-Scale Flood Mapping under Climate Change Scenarios in Hexagonal Discrete Global Grids
Caret Package - A Complete Guide to Build Machine Learning in R
Error metrics for multi-class problems in R: beyond Accuracy and Kappa | R-bloggers
Chapter 3 Classification: Basic Concepts and Techniques | An R Companion for Introduction to Data Mining
Credit Card Fraud Detection Using Common Supervised Learning Algorithms | Zuzanna Liberto
Machine learning in medicine: a practical introduction to techniques for data pre-processing, hyperparameter tuning, and model comparison | BMC Medical Research Methodology | Full Text
Logistics in Poultry. Predicting when birds should be send to… | by Dr. Marc Jacobs | MLearning.ai | Medium
Segmentation: Clustering and Classification | SpringerLink
multiClassSummary of binary classification errs (unsurpringly but quite harsly) · Issue #587 · topepo/caret · GitHub
Engineering accuracy metric using caret package in R
