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The The Data Science Workshop - Learn how you can build machine learning models and create your own real-world data science projects, 2nd Edition (Paperback, 2nd Revised edition)
Loot Price: R1,038
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The The Data Science Workshop - Learn how you can build machine learning models and create your own real-world data science projects, 2nd Edition (Paperback, 2nd Revised edition)
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Gain expert guidance on how to successfully develop machine
learning models in Python and build your own unique data platforms
Key Features Gain a full understanding of the model production and
deployment process Build your first machine learning model in just
five minutes and get a hands-on machine learning experience
Understand how to deal with common challenges in data science
projects Book DescriptionWhere there's data, there's insight. With
so much data being generated, there is immense scope to extract
meaningful information that'll boost business productivity and
profitability. By learning to convert raw data into game-changing
insights, you'll open new career paths and opportunities. The Data
Science Workshop begins by introducing different types of projects
and showing you how to incorporate machine learning algorithms in
them. You'll learn to select a relevant metric and even assess the
performance of your model. To tune the hyperparameters of an
algorithm and improve its accuracy, you'll get hands-on with
approaches such as grid search and random search. Next, you'll
learn dimensionality reduction techniques to easily handle many
variables at once, before exploring how to use model ensembling
techniques and create new features to enhance model performance. In
a bid to help you automatically create new features that improve
your model, the book demonstrates how to use the automated feature
engineering tool. You'll also understand how to use the
orchestration and scheduling workflow to deploy machine learning
models in batch. By the end of this book, you'll have the skills to
start working on data science projects confidently. By the end of
this book, you'll have the skills to start working on data science
projects confidently. What you will learn Explore the key
differences between supervised learning and unsupervised learning
Manipulate and analyze data using scikit-learn and pandas libraries
Understand key concepts such as regression, classification, and
clustering Discover advanced techniques to improve the accuracy of
your model Understand how to speed up the process of adding new
features Simplify your machine learning workflow for production Who
this book is forThis is one of the most useful data science books
for aspiring data analysts, data scientists, database engineers,
and business analysts. It is aimed at those who want to kick-start
their careers in data science by quickly learning data science
techniques without going through all the mathematics behind machine
learning algorithms. Basic knowledge of the Python programming
language will help you easily grasp the concepts explained in this
book.
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