Description: Further DetailsTitle: Data Science Projects with PythonCondition: NewSubtitle: A case study approach to gaining valuable insights from real data with machine learning, 2nd EditionEAN: 9781800564480ISBN: 9781800564480Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 07/29/2021Description: Gain hands-on experience of Python programming with industry-standard machine learning techniques using pandas, scikit-learn, and XGBoostKey FeaturesThink critically about data and use it to form and test a hypothesisChoose an appropriate machine learning model and train it on your dataCommunicate data-driven insights with confidence and clarityBook Description If data is the new oil, then machine learning is the drill. As companies gain access to ever-increasing quantities of raw data, the ability to deliver state-of-the-art predictive models that support business decision-making becomes more and more valuable. In this book, you’ll work on an end-to-end project based around a realistic data set and split up into bite-sized practical exercises. This creates a case-study approach that simulates the working conditions you’ll experience in real-world data science projects. You’ll learn how to use key Python packages, including pandas, Matplotlib, and scikit-learn, and master the process of data exploration and data processing, before moving on to fitting, evaluating, and tuning algorithms such as regularized logistic regression and random forest. Now in its second edition, this book will take you through the end-to-end process of exploring data and delivering machine learning models. Updated for 2021, this edition includes brand new content on XGBoost, SHAP values, algorithmic fairness, and the ethical concerns of deploying a model in the real world. By the end of this data science book, you’ll have the skills, understanding, and confidence to build your own machine learning models and gain insights from real data.What you will learnLoad, explore, and process data using the pandas Python packageUse Matplotlib to create compelling data visualizationsImplement predictive machine learning models with scikit-learnUse lasso and ridge regression to reduce model overfittingEvaluate random forest and logistic regression model performanceDeliver business insights by presenting clear, convincing conclusionsWho this book is for Data Science Projects with Python – Second Edition is for anyone who wants to get started with data science and machine learning. If you’re keen to advance your career by using data analysis and predictive modeling to generate business insights, then this book is the perfect place to begin. To quickly grasp the concepts covered, it is recommended that you have basic experience of programming with Python or another similar language, and a general interest in statistics.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Stephen KlostermanGenre: Computing & InternetISBN-10: 1800564481Release Year: 2021 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Data Science Projects with Python
Title: Data Science Projects with Python
Subtitle: A case study approach to gaining valuable insights from real data
EAN: 9781800564480
ISBN: 9781800564480
Release Date: 07/29/2021
Release Year: 2021
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
ISBN-10: 1800564481
Number of Pages: 432 Pages
Publication Name: Data Science Projects with Python : A Case Study Approach to Gaining Valuable Insights from Real Data with Machine Learning
Language: English
Publisher: Packt Publishing, The Limited
Subject: General, Data Visualization, Data Processing, Programming Languages / Python
Publication Year: 2021
Type: Textbook
Author: Stephen Klosterman
Item Length: 3.6 in
Subject Area: Mathematics, Computers
Item Width: 3 in
Format: Trade Paperback