The The Data Science Workshop

A New, Interactive Approach to Learning Data Science

; Thomas V. Joseph ; Robert Thas John ; Andrew Worsley ; Dr. Samuel Asare

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. Les mer
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466,-

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Leveringstid: Sendes innen 21 dager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

Paperback
Legg i
Paperback
Legg i
Vår pris: 466,-

(Paperback) Fri frakt!
Leveringstid: Sendes innen 21 dager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

Om boka

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.

Fakta

Innholdsfortegnelse

Table of Contents

Introduction to Data Science in Python
Regression
Binary Classification
Multiclass Classification with RandomForest
Performing Your First Cluster Analysis
How to Assess Performance
The Generalization of Machine Learning Models
Hyperparameter Tuning
Interpreting a Machine Learning Model
Analyzing a Dataset
Data Preparation
Feature Engineering
Imbalanced Datasets
Dimensionality Reduction
Ensemble Learning
Machine Learning Pipelines
Automated Feature Engineering

Om forfatteren

Anthony So is an outstanding leader with more than 13 years of experience. He is recognized for his analytical skills and data-driven approach for solving complex business problems and driving performance improvements. He is also a successful coach and mentor with capabilities in statistical analysis and expertise in machine learning with Python. Thomas V. Joseph is a data science practitioner, researcher, trainer, mentor, and writer with more than 19 years of experience. He has exte