Data Science Using Python and R.
โ Scribed by Chantal D. Larose
- Year
- 2019
- Tongue
- English
- Leaves
- 248
- Series
- Wiley Series on Methods and Applications in Data Mining Ser
- Category
- Library
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Over 85 recipes to help you complete real-world data science projects in R and Python About This Book - Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data - Get beyond the theory and implement real-world projects in data science using R and
<p><b>Over 85 recipes to help you complete real-world data science projects in R and Python</b></p><h2>About This Book</h2><ul><li>Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data</li><li>Get beyond the theory and implement real-world proj
<p><b>Over 85 recipes to help you complete real-world data science projects in R and Python</b></p><h2>About This Book</h2><ul><li>Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data</li><li>Get beyond the theory and implement real-world proj
<p><b>Over 85 recipes to help you complete real-world data science projects in R and Python</b></p><h2>About This Book</h2><ul><li>Tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize your data</li><li>Get beyond the theory and implement real-world proj
Organized with a strong focus on open data, Data Science Fundamentals with R, Python, and Open Data discusses concepts, techniques, tools, and first steps to carry out data science projects, with a focus on Python and RStudio, reflecting a clear industry trend emerging towards the integration of the