Cross Validation

The focus of this book deals with a cross cutting issue affecting all particle transport algorithms and applications; verification and validation (V&V). In other words, are the equations being solved correctly and are the correct equations being solved? Verification and validation assures a scientist, engineer or mathematician that a simulation code is a mirror of reality and not just an expensive computer game. In this book, we will learn what the astrophysicist, atmospheric scientist, mathematician or nuclear engineer do to assess the accuracy of their code.

Learn the foundations of machine learning necessary to get a job in data science. No coding experience required.

Data Science, Python, sk learn, Decision Trees, Random Forests, KNNs, Ridge Lasso Regression, SVMs

Explore the advanced topics in Machine Learning with R in a step by step manner to build powerful predictive models in R

Data Science, Python, sk learn, Decision Trees, Random Forests, KNNs, Ridge Lasso Regression, SVMs, a

Unleash the true potential of R to unlock the hidden layers of data

Practical Oriented Explanations by solving more than 80 projects with Numpy, Scikit-learn, Pandas, Matplotlib, Pytorch.

Combining Scrum-based software development with Agile Validation concepts for GxP regulated companies.