uvceml 1.0

List Of ML Programs

UVCEML

A Python package that provides various machine learning algorithms, including Artificial Neural Networks (ANNs), Bayesian Networks, K-Means clustering, K-Nearest Neighbors (KNN), and decision trees (ID3). It also includes algorithms like Candidate Elimination, Find-S, and Naive Bayes, along with Local Weighted Regression.

Features

• ANN: Implementation of an Artificial Neural Network with a single hidden layer.
• Bayesian Network: Build a Bayesian Network and perform inference using the pgmpy library.
• K-Means Clustering: Perform K-Means clustering using scikit-learn.
• KNN: K-Nearest Neighbors classification using scikit-learn.
• Candidate Elimination Algorithm: Perform hypothesis elimination to find the most specific/general hypothesis.
• Find-S Algorithm: Find the maximally specific hypothesis from training examples.
• ID3 Decision Tree: Build a decision tree using the ID3 algorithm.
• Naive Bayes Classifier: A simple Naive Bayes classifier.
• Local Weighted Regression: Perform regression using locally weighted linear regression.

Installation

You can install the package using pip:

pip install uvceml

Usage

Importing the package

import uvceml

Example Usage

1. Artificial Neural Network (ANN)

from uvceml import ANN
ANN()

2. Bayesian Network

from uvceml import bayes_network
input_file = 'path_to_csv_file.csv'
bayes_network(input_file)

3. K-Means Clustering

from uvceml import k_means
k_means()

4. KNN

from uvceml import knn
knn()

5. Candidate Elimination

from uvceml import candidate
input_file = 'path_to_csv_file.csv'
candidate(input_file)

6. Find-S Algorithm

from uvceml import find_s
input_file = 'path_to_csv_file.csv'
find_s(input_file)

7. ID3 Decision Tree

from uvceml import ID3
input_file = 'path_to_csv_file.csv'
ID3(input_file)

8. Naive Bayes Classifier

from uvceml import NaiveBayes
input_file = 'path_to_csv_file.csv'
NaiveBayes(input_file)

9. Local Weighted Regression

from uvceml import regression
input_file = 'path_to_csv_file.csv'
regression(input_file)

Dependencies

This package requires the following libraries:

numpy pandas scikit-learn pgmpy matplotlib You can install these using pip: pip install numpy pandas scikit-learn pgmpy matplotlib

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contributing

Feel free to contribute by submitting a pull request or opening an issue.

Happy coding!