Make Data Science More Accessible
Exploratory Online Seminar
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Scheduled for Future Dates
How to Create Dashboard, Note, and Slides in Exploratory
2019/6/19 (Wed) 11AM - Noon (US Pacific Time)
Kan will be walking through the main features of Dashboard, Note, and Slides and showing how to create them effectively.
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Analytics: An Introduction to Decision Tree
2019/6/26 (Wed) 11AM - Noon (US Pacific Time)
Kan will be introducing Decision Tree, which is one of the machine learning algorithms that build prediction models based on the patterns inside the data, by demonstrating it with Exploratory’s Analytics view.
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Analytics: An Introduction to Random Forest
2019/7/3 (Wed) 11AM - Noon (US Pacific Time)
Random Forest is known as one of the ensemble machine learning algorithms that build ‘decision tree’ based models to predict either categorical or numerical outputs based on the patterns inside the data. It can be often used as ‘Variable Importance’ to find which variables are more important to predict the target output. Kan will be showing how to use it with Exploratory’s Analytics view along with various methods like Boruta, EDARF, and SMOTE (adjusting imbalanced data).
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Past Seminars
Introducing Exploratory v5.1 & v5.2 New Features
2019/6/12 (Wed) 11AM - Noon (US Pacific Time)
Kan is going to introduce the new features of Exploratory v5.1 & v5.2 and walk through a quick demo of the following features.
  • Boruta (Random Forest)
  • Marginal Effect (Logistic Regression)
  • Variable Importance with Linear Regression
  • Chart - Highlight with Color
  • Chart - Commenting feature
Recording: Watch
Link
Data Wrangling: Working with Text Data
2019/1/15 (Tue) 10AM PT (US Pacific Time) / 1PM ET (US Eastern Time)
Kan will be introducing various data wrangling techniques to clean and transform Text data. Also, he’ll be introducing the basics of Regular Expression, with which you can manipulate your text data in a much more flexible way.
Recording: Watch
Slide: Link
Sample Data: User Data
Data Wrangling: Working with Date / Time Data and Visualizing It
2019/1/8(Tue) 10AM PT (US Pacific Time) / 1PM ET (US Eastern Time)
Kan will be introducing various data wrangling techniques to clean and transform Date and Time data. Also, he’ll be discussing various ways to visualize Time Series data to gain deeper insights.
Recording: Watch
Slide: Link
Analytics: An Introduction to K-Means Clustering
2018/12/18(Tue) 10AM PT (US Pacific Time) / 1PM ET (US Eastern Time)
Kan will be introducing K-Means Clustering algorithm, which segments the data based on a given set of variables, by demonstrating it with Exploratory’s Analytics view.
Recording: Watch
Slide: Link
Sample Data: US Baby Data
Analytics: An Introduction to Anomaly Detection for Time Series Data
2018/12/11(Tue) 10AM PT (US Pacific Time) / 1PM ET (US Eastern Time)
Kan will be introducing Anomaly Detection algorithm, which detects anomaly data in the time series data, by demonstrating it with Exploratory’s Analytics view.
Recording: Watch
Slide: Link
Analytics: Time Series Forecasting with Prophet
2018/11/26(Mon) 10AM PT (US Pacific Time) / 1PM ET (US Eastern Time)
Prophet is an easy to use time series forecasting algorithm developed by Sean Taylor and co. at Facebook. I’ll be demonstrating how to use it in Exploratory.
Recording: Watch
Slide: Link
Introducing Exploratory v5.0
2018/11/15 10AM PT (US Pacific Time) / 1PM ET (US Eastern Time)
I’ll be introducing the new features of Exploratory v5.0 including the new UI/UX, new Analytics like K-Means Clustering, Association Rules (Market Basket), and more!
Recording: Watch
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