Super Data Science: ML & AI Podcast with Jon Krohn 463: Time Series Analysis
18 snips
Apr 20, 2021 
Matt Dancho, Founder and CEO of Business Science, dives into the world of time series analysis. He shares his journey developing R packages like Timetk and Modeltime, which enhance forecasting methods. The discussion explores cutting-edge tools, including H2O for automated machine learning, and the significance of ensemble modeling for accuracy. Dancho emphasizes the transformative role of consulting in education and how RStudio has shaped data science practices. Tune in for insights on leveraging deep learning techniques and improving forecasting strategies!
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R Shiny's Power
- R Shiny allows customized web app development around data, unlike platforms like Tableau.
- It offers extensive backend control over data storage, retrieval, and visualization, rendered in HTML for easy server porting.
TimeTK's Efficiency
- TimeTK simplifies time series data wrangling, visualization, and pre-processing.
- Its functions streamline tasks like plotting, summarizing data by time, and creating time series features.
RStudio and Hadley Wickham
- RStudio is a major commercial player in the R space, known for its IDE and open-source contributions.
- Hadley Wickham, a key figure at RStudio, developed popular packages like dplyr and ggplot2.
