regression modeling

Visualize This - 2nd Edition by Nathan Yau (Paperback)

Financial Modelling Using Dynamic Arrays - by Liam Bastick (Paperback)

Nonparametric Estimation of Probability Densities and Regression Curves - (Mathematics and Its Applications) by Nadaraya (Hardcover)

The Data Model Resource Book - by Len Silverston (Paperback)

Deep Learning for Time Series Cookbook - by Vitor Cerqueira & Luís Roque (Paperback)

Stochastic Finance with Python - by Avishek Nag (Paperback)

Thoughtful Data - (Paperback)

Machine Learning Algorithms in Depth - by Vadim Smolyakov (Paperback)

Predicting Structured Data - (Neural Information Processing) by Gokhan Bakir & Thomas Hofmann & Bernhard Scholkopf (Paperback)

Interpretable Machine Learning with Python - Second Edition - 2nd Edition by Serg Masís (Paperback)

Grokking Statistics - by Thomas Nield (Paperback)

Bernoulli's Fallacy - by Aubrey Clayton

Multivariate Statistics and Machine Learning in R for Beginners - by Andreas Tilevik (Hardcover)

Statistical Analysis with R for Dummies - 2nd Edition by Joseph Schmuller (Paperback)

Linear Algebra and Optimization for Machine Learning - 2nd Edition by Charu C Aggarwal (Hardcover)

Quantization and Fast Inference - by Vivek Kalyanarangan (Paperback)

Deep Learning with R - by Francois Chollet (Paperback)

Extending Excel with Python and R - by Steven Sanderson & David Kun (Paperback)

Machine Learning Design Patterns - by Valliappa Lakshmanan & Sara Robinson & Michael Munn (Paperback)

Predictive Analytics for Dummies - (For Dummies) 2nd Edition by Anasse Bari & Mohamed Chaouchi & Tommy Jung (Paperback)

Surrogate Modeling and Optimization - by Nam-Ho Kim (Hardcover)

Outlier Detection in Python - by Brett Kennedy (Paperback)

Machine Learning - (Springer Reliability Engineering) by Xufeng Zhao & Qihui Wu & Hoang Pham (Hardcover)

Data Labeling in Machine Learning with Python - by Vijaya Kumar Suda (Paperback)