Machine Learning Pocket Reference: Working with Structured Data in Python
Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Machine Learning Pocket Reference: Working With Structured Data In PythonISBN13:9781492047544ISBN10:1492047546Author:Harrison, Matt (Author)Description:With Detailed Notes, Tables, And Examples, This Handy Reference Will Help You Navigate The Basics Of Structured Machine Learning Author Matt Harrison Delivers A Valuable Guide That You Can Use For Additional Support During Training And As A Convenient Resource When You Dive Into Your Next Machine Learning Project Ideal For Programmers, Data Scientists, And Ai Engineers, This Book Includes An Overview Of The Machine Learning Process And Walks You Through Classification With Structured Data You'll Also Learn Methods For Clustering, Predicting A Continuous Value (Regression), And Reducing Dimensionality, Among Other Topics This Pocket Reference Includes Sections That Cover: Classification, Using The Titanic Datasetcleaning Data And Dealing With Missing Dataexploratory Data Analysiscommon Preprocessing Steps Using Sample Dataselecting Features Useful To The Modelmodel Selectionmetrics And Classification Evaluationregression Examples Using K-Nearest Neighbor, Decision Trees, Boosting, And Moremetrics For Regression Evaluationclusteringdimensionality Reductionscikit-Learn Pipelines Binding:Paperback, PaperbackPublisher:OREILLY MEDIAPublication Date:2019-09-17Weight:0.52 lbsDimensions:0.67'' H x 7'' L x 4.25'' WNumber of Pages:320Language:English
Specifications
| Return Shipping Will Be Paid By | Buyer |
| All Returns Accepted | Returns Accepted |
| Item Must Be Returned Within | 30 Days |
| Refund Will Be Given As | Money Back |
| Item Length | 7in |
| Item Height | 0.6in |
| Item Width | 2.4in |
| Author | Matt Harrison |
| Format | Trade Paperback |
| Language | English |
| Publisher | O'reilly, Incorporated |
| Publication Year | 2019 |
| Type | Textbook |
| Item Weight | 10.3 Oz |
| Number Of Pages | 200 Pages |
You will find that this textbook has plenty of margin space for taking notes.
