cross-validation topic
blockCV
The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See
Applied-Deep-Learning-with-Keras
Solve complex real-life problems with the simplicity of Keras
confounds
Conquering confounds and covariates: methods, library and guidance
Machine-learning-toolkits-with-python
Machine learning toolkits with Python
Telecom-Customer-Churn-prediction
Customers in the telecom industry can choose from a variety of service providers and actively switch from one to the next. With the help of ML classification algorithms, we are going to predict the Ch...
SharpLearning.Examples
Code examples for SharpLearning
octopus-ml
A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
datatap-python
Focus on Algorithm Design, Not on Data Wrangling
Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with...
numerics
library of numerical methods using Armadillo