This project will be based on a dataset obtained from the UCI Repository. The dataset consists of 1030 observations under 9 attributes. The attributes consist of 8 quantitative inputs and 1 quantitative output. The dataset does not contain any missing values. The dataset is focused on the compressive strength of a cement.
-
Notifications
You must be signed in to change notification settings - Fork 0
Different modeling techniques like multiple linear regression and random forest, etc. will be used for predicting the cement compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy.
Thakursiddhesh/Regression-Model-to-Predict-Cement-Compressive-Strength
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Different modeling techniques like multiple linear regression and random forest, etc. will be used for predicting the cement compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published