Data Preprocess Helper
A beginner-friendly Python package for Data Analytics and Machine Learning students.
It provides complete example code covering:
- Loading datasets
- Dataset inspection
- Missing value handling
- Duplicate removal
- Categorical encoding
- Feature selection
- Train-test splitting
- Feature scaling
- Data visualization
- Correlation heatmap
- Classification
- Regression
- Model evaluation
- Confusion matrix
- Actual vs predicted plots
- Model comparison
- Feature importance
Installation
pip install data-preprocess-helper
Metadata
Release files for hotiq1 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hotiq1-1.0.0.tar.gz | 4.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hotiq1-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.4 kB
Release files / hotiq1-1.0.0.tar.gz
| Download URL | hotiq1-1.0.0.tar.gz |
|---|---|
| Size | 4.6 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/3.12.7
|
Release files / hotiq1-1.0.0-py3-none-any.whl
| Download URL | hotiq1-1.0.0-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
db15a9acc7f964feb7547113a414b8c5d9b56aff6bc93b02bbb5783b97b6db9b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.12.7
|