Detecting which all features contribute to the strength Process: Data re-processing, Feature Engineering, Feature Selection, Model Building, Model Evaluation, Model Selection, Model Deployment. Models considered: Decision Tree, Random Forest, KNN, SVM, Linear Regression, SVM, Lasso Regression, Ridge Regression, Ada Boost Regression, G Boost Regression
-
Notifications
You must be signed in to change notification settings - Fork 0
Capstone Project- Detecting which all features contribute to the strength oDomain: Cement Industry Process: Data re-processing, Feature Engineering, Feature Selection, Model Building, Model Evaluation, Model Selection, Model Deployment. Models considered: Decision Tree, Random Forest, KNN, SVM, Linear Regression, SVM, Lasso Regression, Ridge Re…
TudmeShubhangi83083/Machine-Learning-project-1
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
Capstone Project- Detecting which all features contribute to the strength oDomain: Cement Industry Process: Data re-processing, Feature Engineering, Feature Selection, Model Building, Model Evaluation, Model Selection, Model Deployment. Models considered: Decision Tree, Random Forest, KNN, SVM, Linear Regression, SVM, Lasso Regression, Ridge Re…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published