Call for Book Chapters
Book Title : A Practical aspects of Machine Learning using Python and R Programming [CHEBML2022]
by CWP, Australia
Scope the Book
For the layman, machine learning might be a complicated subject, but those who work in the field of computer programming understand how vital it is. Fraud detection, web search results, real-time advertisements on web sites, credit scoring, automation, and email spam filtering would not be feasible without machine learning, and this is only a sampling of its possibilities. This book provides a much-needed starting point for anybody interested in applying machine learning to real-world problems using python and R programming. Even an individual with no prior analytics or programming knowledge will benefit from this book. The readers will get step-by-step and walkthroughs for utilising Python and R to solve data science issues.
Tentative Chapters of the Book
Chapter 1: Introduction Machine learning
Chapter. 2: Statistics for machine learning
Chapter 3 : Types of machine learning
Chapter 4 : Data cleansing
Chapter 5: Modelling Techniques
Chapter 6 : scoring and validation
Chapter 7 : Linear regression
Chapter 8: logistic regression
Chapter 9 : Decision Tree and Random Forest
Chapter 10 : Support vector machine
Chapter 11: K-nearest neighbour
Chapter 12 : K-means clustering
Chapter 13: Naive Bayes
Chapter 14:Principal Component Analysis
Chapter 15:Dimensionality Reduction Algorithms
Case study 1
Case study 2
Editors
IMPORTANT DATES
Book Chapter Proposal Deadline : September 30, 2021
Book Chapter Proposal Review. : October 05 ,2021
Book Chapter Submission Deadline: Nov 31, 2021
Book Chapter Review : December 05, 2021
Final Camera-ready Chapter Submission : December 31 ,2021
Submission Link
Easy-chair Link :
Google form : https://forms.gle/8uhK9ZDt6b8X6Rhb6
Publisher :
Central West Publishing, Australia
NO Publication / Processing Charges