How to get ROI from Data Science in Python (HOW TO AVOID PROJECT FAILURE)
Return on investment separates data science project success from failure. But most data science teams DON'T know how to do an ROI analysis. In this short video, I expose some key concepts for getting ROI from data science projects including: the 4 elements, how to overcome mistakes, how to generate a strategy from machine learning predictions, how to optimize results, and how to visualize and select the right optimization.
🐍 DATA SCIENCE COURSE IN PYTHON:
Python for Machine Learning & APIs Course
https://university.business-science.i...
Table of Contents:
00:00 Introduction to ROI for Data Science Projects
00:29 The mistake 90% of data science departments make
02:26 The 4 Elements of ROI (Email Lead Scoring Case Study)
02:47 Classification Strategy (Hot/Cold Lead Strategy)
03:08 Expected Value
03:46 Optimization Table
05:57 Optimization Plot
06:58 ROI Recap
#datascience #python #project