How To

How to create a Linear Regression Model as a step then predict with new data

This blog explains how to create a Linear Regression Model as a step then predict with new data.

By hide kojima3/3/2019 9:46:04 PM

Learn what's new in Exploratory v5.0! New UI & Design, new data wrangling UIs, Decision Tree, Market Basket Analysis, K-Means Clustering, Chart Pinning, and more!

By Kan Nishida2/26/2019 4:50:47 PM5

Team Exploratory How-to Data Wrangling Visualization Analytics Dashboard

Building Decision Tree and Visualize in Exploratory

It explains how to create a decision tree with the Decision Tree Analytics view feature in Exploratory.

By Kei Saito2/26/2019 2:15:16 PM4

Team Exploratory Visualization How-to Machine Learning Analytics

Getting Started Guide

By Kan Nishida1/6/2019 10:03:15 AM8

How-to Team Exploratory Getting Started Visualization Wrangling Analytics Markdown

An Introduction to Bayesian A/B Testing in Exploratory

By Kan Nishida12/20/2018 5:36:03 PM

Team Exploratory How-to Analytics Statistics A/b Test Bayesian

An Introduction to Survival and Cohort Analysis

By Kan Nishida12/20/2018 5:31:06 PM

Team Exploratory How-to Survival Statistics Analytics

Prediction of Survival by Cox Regression Model

By Hideaki Hayashi12/9/2018 10:35:33 PM3

How-to Team Exploratory Analytics Survival Analysis

Specifying When to Forecast to Prophet

By Hideaki Hayashi12/3/2018 10:26:49 AM1

How-to Team Exploratory Analytics Time Series Prophet

How to Run Wilcoxon Signed-Rank Test in Exploratory

By Hideaki Hayashi11/20/2018 5:27:06 PM4

Team Exploratory How-to Analytics Wilcoxon Test

How to build SVM models in Exploratory

By Hideaki Hayashi11/17/2018 9:08:51 PM1

How-to Team Exploratory Analytics Machine Learning Svm

Note

Using H2O Powered Machine Learning Algorithms in R & Exploratory

By Hideaki Hayashi11/12/2018 7:03:30 AM3

How-to H2o Machine Learning Random Forest Analytics Team Exploratory

Using forecast (auto.arima) in Exploratory

By Hideaki Hayashi11/12/2018 12:19:27 AM1

How-to Team Exploratory Analytics Time Series Prophet Arima

Visualizing K-Means Clustering Results to Understand the Characteristics of Clusters Better

This post introduces you how to use K-Means Clustering feature under Analytics view to gain more insights from the clustering result. You can find the relationships among the categories and among the variables with various charts that are automatically generated under Analytics view.

By Kan Nishida11/1/2018 3:20:52 PM4

Team Exploratory How-to Analytics K-means Machine Learning