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Regression Models for Data Science in R A companion book...

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Mathematics - Mathematical Statistics
Regression Models for Data Science in R...

Regression Models for Data Science in R A companion book for the Coursera Regression Models class

Brian Caffo

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როგორ მოგეწონათ ეს წიგნი?

როგორი ხარისხისაა ეს ფაილი?

ჩატვირთეთ, ხარისხის შესაფასებლად

როგორი ხარისხისაა ჩატვირთული ფაილი?

კატეგორია:

Mathematics - Mathematical Statistics

წელი:

2019

გამომცემლობა:

Leanpub

ენა:

english

ფაილი:

PDF, 4.01 MB

IPFS:

,

english, 2019

ონლაინ წაკითხვა

ხორციელდება კონვერტაციის -ში

კონვერტაციის -ში ვერ მოხერხდა

შესაძლოა დაგაინტერესოთ

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Roger D Peng — Exploratory Data Analysis with R

Brian Caffo — Statistical Inference for Data Science - A Companion to the Coursera Statistical Inference Course

Roger D. Peng — Report Writing for Data Science in R

Jeffrey Leek — How to be a modern scientist

Roger D. Peng — Exploratory data analysis with R

Roger D. Peng — Report writing for data science in R

Roger D. Peng, Sean Kross, Brooke Anderson — Mastering software development in R

Rafael A. Irizarry — Introduction to Data Science Data Analysis and Prediction Algorithms with R

Ewen Harrison & Riinu Pius — R for Health Data Science

John P. Hoffmann — Linear Regression Models: Applications in R

Simon Sheather (auth.) — A Modern Approach to Regression with R

Arthur Glenberg, Arthur M. Glenberg, Matthew Andrzejewski — Learning From Data: An Introduction to Statistical Reasoning, Third Edition

David W. Gerbing — R Data Analysis without Programming: Explanation and Interpretation

Graham W. Griffiths — Numerical Analysis Using R: Solutions to ODEs and PDEs

Charles Bouveyron; Gilles Celeux; T. Brendan Murphy; Adrian E. Raftery — Model-Based Clustering and Classification for Data Science: With Applications in R

Brian Caffo, Roger D. Peng, Jeffrey T. Leek — Executive Data Science: A Guide To Training And Managing The Best Data Scientists

Richard Cotton — Learning R: A Step-by-Step Function Guide to Data Analysis

Daniel Mirman — Growth Curve Analysis and Visualization Using R

Norman Matloff — Statistical Regression and Classification: From Linear Models to Machine Learning

Nick Fieller — Basics of Matrix Algebra for Statistics with R

Giovanni Felici, Giovanni Felici, Carlo Vercellis — Mathematical methods for knowledge discovery and data mining

Giuseppe Ciaburro — REGRESSION_ANALYSIS_WITH_R

Razia Azen, Cindy M. Walker — Categorical Data Analysis for the Behavioral and Social Sciences

Kassambara Alboukadel — Machine learning essentials

Jeff Leek, Roger Peng ,Brian Caffo, — Regression Models for Data Science in R: Statistical inference for data science.

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