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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.
Cut through the noise and get real results with a step-by-step
approach to data science Key Features Ideal for the data science
beginner who is getting started for the first time A data science
tutorial with step-by-step exercises and activities that help build
key skills Structured to let you progress at your own pace, on your
own terms Use your physical print copy to redeem free access to the
online interactive edition Book DescriptionYou already know you
want to learn data science, and a smarter way to learn data science
is to learn by doing. The Data Science Workshop focuses on building
up your practical skills so that you can understand how to develop
simple machine learning models in Python or even build an advanced
model for detecting potential bank frauds with effective modern
data science. You'll learn from real examples that lead to real
results. Throughout The Data Science Workshop, you'll take an
engaging step-by-step approach to understanding data science. You
won't have to sit through any unnecessary theory. If you're short
on time you can jump into a single exercise each day or spend an
entire weekend training a model using sci-kit learn. It's your
choice. Learning on your terms, you'll build up and reinforce key
skills in a way that feels rewarding. Every physical print copy of
The Data Science Workshop unlocks access to the interactive
edition. With videos detailing all exercises and activities, you'll
always have a guided solution. You can also benchmark yourself
against assessments, track progress, and receive content updates.
You'll even earn a secure credential that you can share and verify
online upon completion. It's a premium learning experience that's
included with your printed copy. To redeem, follow the instructions
located at the start of your data science book. Fast-paced and
direct, The Data Science Workshop is the ideal companion for data
science beginners. You'll learn about machine learning algorithms
like a data scientist, learning along the way. This process means
that you'll find that your new skills stick, embedded as best
practice. A solid foundation for the years ahead. What you will
learn Find out the key differences between supervised and
unsupervised learning Manipulate and analyze data using
scikit-learn and pandas libraries Learn about different algorithms
such as regression, classification, and clustering Discover
advanced techniques to improve model ensembling and accuracy Speed
up the process of creating new features with automated feature tool
Simplify machine learning using open source Python packages Who
this book is forOur goal at Packt is to help you be successful, in
whatever it is you choose to do. The Data Science Workshop is an
ideal data science tutorial for the data science beginner who is
just getting started. Pick up a Workshop today and let Packt help
you develop skills that stick with you for life.
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