The Data Science Workshop by Anthony So, Thomas V. Joseph, Andrew Worsley, Robert Thas John, Samuel Asare

You 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 for
Our 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.

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