Metadata-Version: 2.4
Name: nunppy
Version: 0.1.0
Summary: A collection of my Machine Learning practical codes
Author: Rutuja Phalke
Requires-Python: >=3.8
Description-Content-Type: text/markdown

\# nupy



A collection of my Machine Learning practical codes written in Python.



\## About



`nupy` is a personal Python library created by \*\*Rutuja Phalke\*\*.



It contains 12 Machine Learning and Deep Learning practical codes. The library stores the complete practical code and allows users to display the code using simple Python functions.



\## Included Codes



1\. Simple Linear Regression

2\. Multiple Linear Regression

3\. Support Vector Machine (SVM)

4\. Naive Bayes Classifier

5\. Logistic Regression

6\. K-Nearest Neighbors (KNN)

7\. Decision Tree Classifier

8\. K-Means Clustering

9\. Hierarchical Clustering

10\. Activation Functions

11\. TensorFlow Tensors and Matrix Operations

12\. Artificial Neural Network (ANN)



\## Example



```python

from nupy import simple\_linear\_regression



print(simple\_linear\_regression())

```



The function displays the complete saved practical code as text. It does not execute the Machine Learning code.



\## Author



\*\*Rutuja Phalke\*\*



