This repository contains Python codes for Regression (Simple/Multi Linear, Polynomial, Support Vector, Decision Tree, and Random Forest), Classification (Logistic, K-Nearest Neighbors, Support Vector Machine, Kernel SVM, Decision Tree, Random Forest) and Clustering (K-means, Hierarchical) models for various real world applications using packages such as Scikit-learn, NumPy, Pandas and Matplotlib.
-
Notifications
You must be signed in to change notification settings - Fork 3
This repository contains Python codes for Regression (Simple/Multi Linear, Polynomial, Support Vector, Decision Tree, and Random Forest), Classification (Logistic, K-Nearest Neighbors, Support Vector Machine, Kernel SVM, Decision Tree, Random Forest) and Clustering (K-means, Hierarchical) models for various real world applications using packages…
vandanpatel0992/Machine-Learning-Models
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
About
This repository contains Python codes for Regression (Simple/Multi Linear, Polynomial, Support Vector, Decision Tree, and Random Forest), Classification (Logistic, K-Nearest Neighbors, Support Vector Machine, Kernel SVM, Decision Tree, Random Forest) and Clustering (K-means, Hierarchical) models for various real world applications using packages…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published