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# 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

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**

Metadata

Release files for nuppy 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for nuppy 0.1.0
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Table of built distributions (wheels) for nuppy 0.1.0
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nuppy-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 16.5 kB

Release files / nuppy-0.1.0.tar.gz

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0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.1

2 release files

This release

0.1.0 This release

2 release files

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