liyy92 Goto Github PK

application-modeling-design-info5001

Application-Modeling-Design (INFO 5001)

application_modeling_design_info5001

bulletjournal

An organizational system that helps you keep track of everything in your busy life

data_analysis_project_intermediate_analysis_python

data_warehousing_sql

deliveryproject

deliveryproject-backend

info6105-final-project

info6350_001028017_yuanying-li

leetcode

leetgrokk

Grokking The Coding Interview questions mapped to Leetcode

newrepo

predictive_analytics_r

This course introduces the student to some of the most commonly used techniques used for making data-driven predictions. Each technique is introduced in the context of a business problem from which the student identifies and describes the features that theinput historical data must have in order to make appropriate use of such a technique. Variations of the motivating problem are used as a way to simulate feedback from different stakeholders as well as way to motivate model refinements. These simulations are also used as a means for the students to communicate the outcomes of a predictive analysis model (and of the decisions made during modeling) to interested parties.

servicenow_loaner_request_app