All Videos Tagged Jon MacMillan”, (Data Science Central) - Data Science Central 2020-07-12T14:11:20Z https://www.datasciencecentral.com/video/video/listTagged?tag=Jon+MacMillan%E2%80%9D%2C&rss=yes&xn_auth=no DSC Webinar Series: Predictive Modeling’s Counterpart, Data Preparation tag:www.datasciencecentral.com,2019-05-09:6448529:Video:823983 2019-05-09T22:22:03.710Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-predictive-modeling-s-counterpart-data"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2387948697?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>When plunging into predictive analytics, we often forget to talk about the data preparation necessary for it. In this latest Data Science Central webinar, we will use a movie database as a fun example, and we’ll work towards creating a model to predict a movie’s overall rating—to see if certain actors, the genre, or even movie length has an… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-predictive-modeling-s-counterpart-data"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2387948697?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />When plunging into predictive analytics, we often forget to talk about the data preparation necessary for it. In this latest Data Science Central webinar, we will use a movie database as a fun example, and we’ll work towards creating a model to predict a movie’s overall rating—to see if certain actors, the genre, or even movie length has an impact on its rating.<br /> <br /> We will also discuss what to keep in mind in terms of data preparation as we work towards developing a training dataset; making sure that the data preparation is repeatable, that all team members understand the process (to ensure buy-in), and that additional information can be created from the data available. You’ll learn how Rapid Insight’s Veera platform makes all of this easy, saving time and resources.<br /> <br /> Key highlights include:<br /> <br /> Democratizing the data, or creating a process that most people would be able to follow, regardless of professional background or industry<br /> Ensuring buy-in because it helps you communicate to everyone in the organization about the model and data preparation<br /> Creating a repeatable and schedulable workflow for data preparation<br /> Predicting movie ratings and looking at what type of reviews a movie pitch might get<br /> <br /> Speakers:<br /> Jon MacMillan, Senior Data Analyst - Rapid Insight<br /> Alex Herbert, Sales Manager - Rapid Insight<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central