# 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)
| File | Size | Uploaded | |
|---|---|---|---|
| nuppy-0.1.0.tar.gz | 5.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| 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
| Download URL | nuppy-0.1.0.tar.gz |
|---|---|
| Size | 5.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
9e2197f00a435bf747b6fcf5f0e0fffde28ac78c5a038bcff92ffabcc150d0ae
|
|
BLAKE2b-256 checksum How to use checksums |
d1a767b7d8b2c69e15d885d757f53c344b1ed52322961a131b8cfa131dccb51f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.2
|
Release files / nuppy-0.1.0-py3-none-any.whl
| Download URL | nuppy-0.1.0-py3-none-any.whl |
|---|---|
| Size | 10.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
0a00c1965fb351495d4418c42126b1835e767b55a397fd6f40d5ddaaf93fb466
|
|
BLAKE2b-256 checksum How to use checksums |
b510f394e94f87d0adf9e2110004076d7deb4b9dfbee8eddc38f6c82247f8762
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.2
|