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Machine Learning with Python
Machine Learning with Python

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

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Profile Icon Oliver Theobald
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NZ$14.99
eBook Mar 2024 146 pages 1st Edition
eBook
NZ$14.99
Arrow left icon
Profile Icon Oliver Theobald
Arrow right icon
NZ$14.99
eBook Mar 2024 146 pages 1st Edition
eBook
NZ$14.99
eBook
NZ$14.99

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Key benefits

  • Navigate through Python's machine learning libraries effectively
  • Learn exploratory data analysis and data scrubbing techniques
  • Design and evaluate machine learning models with precision

Description

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 understand and prepare your data for modeling. The journey continues with detailed walkthroughs on creating, evaluating, and optimizing machine learning models, covering key algorithms such as linear and logistic regression, support vector machines, k-nearest neighbors, and tree-based methods. Each section is designed to build upon the previous, reinforcing learning and application of concepts. Wrapping up, the course introduces the next steps, including an introduction to Python for newcomers, ensuring a comprehensive understanding of machine learning applications.

Who is this book for?

This course is ideal for aspiring data scientists and professionals looking to integrate machine learning into their workflows. A basic understanding of Python and statistics is beneficial.

What you will learn

  • Analyze datasets for insights
  • Scrub data for model readiness
  • Understand key ML algorithms
  • Design and validate models
  • Apply Linear and Logistic Regression
  • Utilize K-Nearest Neighbors and SVMs

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 06, 2024
Length: 146 pages
Edition : 1st
Language : English
ISBN-13 : 9781835462072
Category :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want
OR
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Product Details

Publication date : Mar 06, 2024
Length: 146 pages
Edition : 1st
Language : English
ISBN-13 : 9781835462072
Category :

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Table of Contents

16 Chapters
FOREWORD Chevron down icon Chevron up icon
DATASETS USED IN THIS BOOK Chevron down icon Chevron up icon
INTRODUCTION Chevron down icon Chevron up icon
DEVELOPMENT ENVIRONMENT Chevron down icon Chevron up icon
MACHINE LEARNING LIBRARIES Chevron down icon Chevron up icon
EXPLORATORY DATA ANALYSIS Chevron down icon Chevron up icon
DATA SCRUBBING Chevron down icon Chevron up icon
PRE-MODEL ALGORITHMS Chevron down icon Chevron up icon
SPLIT VALIDATION Chevron down icon Chevron up icon
MODEL DESIGN Chevron down icon Chevron up icon
LINEAR REGRESSION Chevron down icon Chevron up icon
LOGISTIC REGRESSION Chevron down icon Chevron up icon
SUPPORT VECTOR MACHINES Chevron down icon Chevron up icon
k-NEAREST NEIGHBORS Chevron down icon Chevron up icon
TREE-BASED METHODS Chevron down icon Chevron up icon
NEXT STEPS Chevron down icon Chevron up icon
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