Machine Learning with Python Unlocking AI Potential with Python and Machine Learning

The course starts by setting the foundation with an introduction to machine learning, Python, and essential libraries, ensuring you grasp the basics before diving deeper. It then progresses through exploratory data analysis, data scrubbing, and pre-model algorithms, equipping you with the skills to...

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Bibliographic Details
Other Authors: Theobald, Oliver, author (author)
Format: eBook
Language:Inglés
Published: Birmingham, England : Packt Publishing, Limited [2024]
Edition:First edition
Subjects:
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009805121806719
Table of Contents:
  • Intro
  • FOREWORD
  • DATASETS USED IN THIS BOOK
  • INTRODUCTION
  • DEVELOPMENT ENVIRONMENT
  • MACHINE LEARNING LIBRARIES
  • EXPLORATORY DATA ANALYSIS
  • DATA SCRUBBING
  • PRE-MODEL ALGORITHMS
  • SPLIT VALIDATION
  • LOGISTIC REGRESSION
  • SUPPORT VECTOR MACHINES
  • k-NEAREST NEIGHBORS
  • TREE-BASED METHODS
  • NEXT STEPS
  • APPENDIX 1: INTRODUCTION TO PYTHON
  • APPENDIX 2: PRINT COLUMNS
  • Blank Page.