Data Science Helper Library
This library is designed to assist students in understanding key Data Science and Statistics concepts. It provides tools to analyze and validate statistical principles, including:
- Univariate & Bivariate Analysis
- Correlations
- Linear & Logistic Regression
- Predictive Modeling & Evaluation
Additionally, it offers utility functions to simplify data analysis and explanations of popular Python libraries such as:
- pandas
- scikit-learn
- seaborn
Whether you're exploring statistical relationships, building predictive models, or learning how different libraries work, this package will help make your Data Science journey smoother!
1 maintainer
Metadata
1 maintainer
Release files for statshelp 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| statshelp-0.0.5.tar.gz | 14.3 kB | Without provenance | Details |
Release files / statshelp-0.0.5.tar.gz
| Download URL | statshelp-0.0.5.tar.gz |
|---|---|
| Size | 14.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c5d39a6e0f69fdfe46292f20f7b9d345d9cee004925f0457f5b2a7d7090c3420
|
|
BLAKE2b-256 checksum How to use checksums |
d3155c37228d2ec74e6032b8ae9359ba5952cc3e24780fc15fb3f23da63a09d4
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.2
|
Security for statshelp 0.0.5
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
