Name		Name	Last commit message	Last commit date
Latest commit History 5 Commits
CLASSIFICATION.ipynb		CLASSIFICATION.ipynb
LICENSE		LICENSE
PREDICTION .ipynb		PREDICTION .ipynb
Products_Filtered.csv		Products_Filtered.csv
README.md		README.md

Repository files navigation

Classification-and-Prediction

About

The prediction was done to examine the relationship between various prices in order to maximize profit. While the classification was done using random forest classification to classify the most important features in terms of percentage and also to check the days for most products to be manufactured.

python linear-regression jupyter-notebook prediction km classification scatter-plot random-forest-classifier

Report repository

Releases

No releases published

Packages

Contributors

Languages

Jupyter Notebook 100.0%