# 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 nunppy 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nunppy-0.1.0.tar.gz | 5.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nunppy-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.4 kB
Release files / nunppy-0.1.0.tar.gz
| Download URL | nunppy-0.1.0.tar.gz |
|---|---|
| Size | 5.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.2
|
Release files / nunppy-0.1.0-py3-none-any.whl
| Download URL | nunppy-0.1.0-py3-none-any.whl |
|---|---|
| Size | 10.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
20c94f0a9b4444997c8c2542922c35ef38aa3a6860bd7fe32cbe6613f08c2e45
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.2
|