R for Data Science. Learn and explore the fundamentals of data science with R

R for Data Science. Learn and explore the fundamentals of data science with R - Opis

Spis treści: 1. Data Mining Patterns2. Data Mining Sequences3. Text Mining4. Data Analysis ? Regression Analysis5. Data Analysis - Correlation6. Data Analysis - Clustering7. Data Visualization - R Graphics8. Data Visualization - Plotting9. Data Visualization - 3-D and Advanced Techniques10. Machine Learning In Action11. Predicting Events with Machine Learning12. Supervised and Unsupervised Learning O autorze: Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.