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
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