Event Details
This workshop is suitable for those interested in applying data science to solve business problems. We will not only teach you fundamental knowledge and skills but we will also take a look at how they are applied by professionals to build real end-to-end data science solutions. In this workshop, you will learn about the RM4E analytical workflow, which guides the problem solving process. You will also encounter various cases where you will learn how different approaches may be adopted to solve industry problems.
The first part will cover the most common machine learning algorithms in regression, classification, and clustering problems including linear regression, logistic regression, naive bayes, support vector machine, and k-means. Then we will walk through the Python code for a classic classification problem, Titanic survival. We’ll go through preprocessing, exploratory data analysis, visualization, model architecture, and evaluating performance on test data.
The second part will cover applications of machine learning in real business problems such as predicting whether an ad will lead to bad clicks. We will cover how the project breaks down, which teams are responsible for which components, and how a project goes from a business challenge to deployment with real value add. We will also cover the importance of analytical workflows and how they increase the reproducibility, transparency, and validity of your data science projects.
- Friday — April 24, 2020
1:00PM - 3:30PM - Virtual
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The Organizer
Research Methods and Data Science Meetup
This Research Methods and Data Science (RMDS) meetup group is devoted to make big data & AI useful, and to promote big data technologies. It is a meet-up group bringing together people from research methodology, data science, data professional services, AI and computing in the greater Los Angeles area.
The focus of the group is about utilizing big data & AI technologies to improve data analytics & research for social good, and to promote research methods and data science innovation. On a regular base, we run workshops on big data analytics that can be applied to model and visualize open data and other complicated big data sets. Also, we will organize special meetings to discuss special data science projects, as well as data science automation and augmentation.