Data science projects with Python : a case study approach to gaining valuable insights from real data with machine learning

Ideal for anyone who is just getting started with machine learning, this hands-on data science book will give you experience building predictive models using industry-standard tools and techniques. It will help you develop the skills and understanding to generate valuable insights and make data-driv...

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Bibliographic Details
Main Author Klosterman, Stephen (Author)
Format Electronic eBook
LanguageEnglish
Published Birmingham : Packt Publishing, 2021.
EditionSecond edition.
Subjects
Python (Computer program language)
Machine learning.
Data mining.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781800569447
1800569440
1800564481
9781800564480
Physical Description1 online resource

Cover

Table of Contents:
  • Table of Contents Data Exploration and Cleaning Introduction to Scikit-Learn and Model Evaluation Details of Logistic Regression and Feature Exploration The Bias-Variance Trade-off Decision Trees and Random Forests Gradient Boosting, XGBoost, and SHAP (SHapley Additive exPlanations) Values Test Set Analysis, Financial Insights, and Delivery to the Client.

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