Skip to main content

A comprehensive KDD and Data Mining code snippet reference package

Project description

PySI - Ultimate KDD Snippets 🚀

PySI is a "raw hardcore" code snippet reference package designed for KDD (Knowledge Discovery in Databases) and Data Mining exams. It provides instant access to over 100+ production-ready snippets for pandas, numpy, sklearn, and more.

Installation

pip install pysi-kdd

Usage

from pysi import smenu, scode

# 1. Interactive Menu
smenu()

# 2. Get Code Snippets
scode('pandas_cleaning')  # Data manipulation
scode('clf_models')       # Classification models
scode('cheatsheet')       # Exam quick reference

Features

  • Data Manipulation: Comprehensive Pandas/Numpy cheatsheet (cleaning, merging, transforming).
  • Statistics: Hypothesis tests, sample size, normality, homogeneity.
  • Preprocessing: Scaling, encoding, missing value imputation (MICE, KNN).
  • Modeling: Regression, Classification, Ensemble methods.
  • Advanced: Causal Inference, SHAP explainability.
  • Reference: Quick exam cheatsheet.

Categories

  • Data Loading & Manipulation
  • Statistics & Tests
  • Preprocessing & Feature Engineering
  • Outlier Detection & Treatment
  • Balancing (SMOTE, ADASYN)
  • Regression & Classification Models
  • Evaluation Metrics & Validation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pysi_kdd-1.0.0.tar.gz (9.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pysi_kdd-1.0.0-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file pysi_kdd-1.0.0.tar.gz.

File metadata

  • Download URL: pysi_kdd-1.0.0.tar.gz
  • Upload date:
  • Size: 9.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for pysi_kdd-1.0.0.tar.gz
Algorithm Hash digest
SHA256 d02de40b4919511e5540fdf8d8a11dab4a41ea3475a4a14ea276984364aa743a
MD5 d6d14f599ddd961a213b5f756f7bdff5
BLAKE2b-256 1e3bf6fe73f77eaf6671440bb39257df1a836e0eef023359e98e900142ee670f

See more details on using hashes here.

File details

Details for the file pysi_kdd-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: pysi_kdd-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 9.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.9

File hashes

Hashes for pysi_kdd-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 47541d94c82c6b51b4312e41ebb7b1ba48decb807c07d931e3ec5f242394c841
MD5 163174debd75dda1aaec42fd61256a25
BLAKE2b-256 077b658c16b4a22fd68a24fd523c4d2415d6292b6ef0a222d4d970d722957dcb

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page