Data Science from Scratch: Comprehensive guide with essential principles of Data Science

by Scott Harvey

Data is a commodity, but without ways to process it, its value is questionable. Data science is a multidisciplinary field whose goal is to extract value from data in all it's forms. This ebook explores the field of data science through data and its structure as well as the high-level process that you can use to transform data into value. Data science is a process. That's not to say it's mechanical and void of creativity. But, when you dig into the stages of processing data, from munging data sources and data cleansing to machine learning and eventually visualisation, you see that unique steps are involved in transforming raw data into insight. The steps that you use can also vary. In exploratory data analysis, you might have a cleansed data set that's ready to import into R, and you visualise your result but don't deploy the model in a production environment. In another environment, you might be dealing with real-world data and require a process of data merging and cleansing in addition to data scaling and preparation before you can train your machine learning model.

110 pages, Paperback

Published May 9, 2018

Reviews

[Abhinanda Dash · Rating 2 out of 5]

3 does not provideenough on machine learning . Also needs to be checked a casestudy seems to have been pastedi

Poorly put together. Needs to be reviewed. A case study has been just copypasted in. Not enough about machine learnong