If you enjoyed this book, you may be interested in these other books by Packt:
Practical Data Science Cookbook - Second EditionPrabhanjan Tattar et al.
ISBN: 978-1-78712-962-7
- Learn and understand the installation procedure and environment required for R and Python on various platforms
- Prepare data for analysis by implement various data science concepts such as acquisition, cleaning and munging through R and Python
- Build a predictive model and an exploratory model
- Analyze the results of your model and create reports on the acquired data
- Build various tree-based methods and Build random forest
Thoughtful Data ScienceDavid Taieb
ISBN: 978-1-78883-996-9
- Bridge the gap between developer and data scientist with a Python-based toolset
- Get the most out of Jupyter Notebooks with new productivity-enhancing tools
- Explore and visualize data using Jupyter Notebooks and PixieDust
- Work with and assess the impact of artificial intelligence in data science
- Work with TensorFlow, graphs, natural language processing, and time series
- Deep dive into multiple industry data science use cases
- Look into the future of data analysis and where to develop your skills