Designed to simplify the creation of cost matrices for optimization problems.
-
Updated
Jul 7, 2024 - Python
Designed to simplify the creation of cost matrices for optimization problems.
Using Machine Learning Algorithms, created a model for predicting the popularity of an online news article on Mashable with 79% accuracy along with forecasting a profitability of $1,182,400 using the cost matrix for model
In this project, we have analyzed, explored and processed the data, developed and evaluated various classification and regression models to provide strategies for high returns with low risk for investors.
The objective is to determine the popularity of articles prior to its publication by training machine learning models on various features and implement new pricing strategy with help of cost based analysis (cost matrix) and help mashable's marketing to maximize their profit.
Add a description, image, and links to the cost-matrix topic page so that developers can more easily learn about it.
To associate your repository with the cost-matrix topic, visit your repo's landing page and select "manage topics."