Original PDF Ebook – The Data Science Workshop2nd EditionLearn how you can build machine learning models and create your own real-world data science projects, 2nd Edition – 9781800566927

Original PDF Ebook – The Data Science Workshop2nd EditionLearn how you can build machine learning models and create your own real-world data science projects, 2nd Edition – 9781800566927

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 Description
Where 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.