Data Science Projects with Python, 2nd Edition by Stephen Klosterman
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 76 mb
Overview: 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 process of exploring data and delivering machine learning models. Updated to the latest version of Python, this new edition for 2021 includes brand new content on XGBoost, SHAP values, and how to evaluate and monitor machine learning models.
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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://rapidgator.net/file/6524a1bf8b8 ... n.rar.html
Data_S_ence_P_jects_with_P_thon.rar
Trouble downloading? Read This.
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 76 mb
Overview: 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 process of exploring data and delivering machine learning models. Updated to the latest version of Python, this new edition for 2021 includes brand new content on XGBoost, SHAP values, and how to evaluate and monitor machine learning models.
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.
Genre: Non-Fiction > Tech & Devices
Download Instructions:
https://rapidgator.net/file/6524a1bf8b8 ... n.rar.html
Data_S_ence_P_jects_with_P_thon.rar
Trouble downloading? Read This.
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