Angela Yu Feb 13, 2020 3 min Machine Learning Basics - Tree Based Models A decision tree is a flowchart-like structure in which each internal node represents a "test" on an attribute (e.g. whether a coin flip...

Angela Yu Jan 30, 2020 3 min Machine Learning Basics - Model Evaluation 02 In the previous section, we discussed briefly the technique of train/test split and cross validation. In this section, we will...

Angela Yu Jan 23, 2020 3 min Machine Learning Basics - Model Evaluation 01 Intro to ML Machine Learning (ML) provides machines with the ability to learn autonomously based on past experiences, observations and...

Lizhou (Leo) Fan Oct 28, 2019 0 min Purpose of Machine Learning and Modeling for Digital Humanities and Social Sciences

Lizhou (Leo) Fan Oct 27, 2019 0 min Introduction to the meuse dataset for Machine Learning and Modeling

Kaixin Wang Oct 29, 2019 1 min Linear Regression Modeling in Python This module is the combined version of the previous two posts on building a linear regression model using Python. A PDF version of this...

Kaixin Wang Oct 29, 2019 1 min Variable Selection, Modeling and Model Evaluation in Linear Regression In this module, we will use the results from Exploratory Data Analysis (EDA) in the previous module and start building the linear...

Kaixin Wang Oct 29, 2019 1 min Exploratory Data Analysis (EDA) and Linear Regression In this module, we will introduce how to conduct Exploratory Data Analysis (EDA) to build a linear regression model using Python. A PDF...

Angela Yu Oct 29, 2019 1 min Variable Transformation in R Video Walkthrough Link to post: https://rpubs.com/huiziy/544399