End To End Data Science With R

Author

Rene Essomba

Preface

Welcome to the first edition of “End to End Data Science with R”!

After reading this book, you’ll have the tools to tackle a wide variety of data science challenges using the following skills:

  • The ability to import and explore data using R

  • A solid understanding of basic statistics and machine learning concepts

  • The ability to clean and wrangle data using packages like dplyr and tidyr

  • The ability to visualize data using ggplot2

  • The ability to build machine learning models to predict outcomes or find patterns in data

  • The ability to apply unsupervised learning techniques like clustering and anomaly detection

  • An understanding of advanced topics like natural language processing (NLP) and image processing

  • The ability to work with big data and scale their analysis using cloud computing platforms

  • The ability to apply their skills to a real-world data science project

  • An understanding of time series analysis and reinforcement learning

Funding & Support

This book was primarily a volunteer effort that took thousands of hours to create 😃

Acknowledgments

This book isn’t just the product of the listed authors but is the result of many conversations (in person and online) that we’ve had with many people in the R community. We’re incredibly grateful for all the conversations we’ve had with y’all; Thank You So Much!

Contribution

If you would like to make a content contribution, please contact with us first via Github issues or by email: [franckess48@gmail.com]. We are implementing a schedule for updates and are creating a contributor guide.

Please note that this book project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.