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BizLens: Complete analytics platform with 13 interactive Jupyter notebooks covering descriptive analytics, statistical inference, regression, machine learning, clustering, process mining, and time series analysis. Built-in Rich tables, dual Pandas/Polars support, and production-ready code examples.

Project description

BizLens 📊

Business analytics, statistical inference, process mining, and machine learning — all in one package

BizLens is a comprehensive Python library designed for business analysts, data scientists, educators, and students. It combines professional statistical analysis, beautiful Rich tables, interactive visualizations, and built-in business process mining capabilities — all accessible with a simple pip install.


🚀 Open in Google Colab — No Installation Needed

Click any link below to launch a notebook instantly in your browser:

Core Analytics

Notebook Colab Link What You'll Learn
Quick Start Open in Colab Overview, frequency tables, outlier detection
Descriptive Analytics Open in Colab Frequency, percentile, contingency, data profile
Statistical Inference Open in Colab Confidence intervals, t-tests, ANOVA, correlation
Chi-Square & Association Open in Colab Chi-square, contingency tables, Cramér's V
Probability & Distributions Open in Colab Distribution fitting, simulation, sampling

Machine Learning

Notebook Colab Link What You'll Learn
Linear & Multiple Regression Open in Colab OLS regression, diagnostics, predictions
Logistic Regression Open in Colab Binary classification, ROC, confusion matrix
Decision Trees & Random Forests Open in Colab Tree models, feature importance, ensembles
PCA & Clustering Open in Colab Dimensionality reduction, K-Means, DBSCAN
Conjoint Analysis Open in Colab Preference modeling, attribute utilities
Q-Learning Open in Colab Reinforcement learning basics, Q-table

Advanced Analytics & Process Mining

Notebook Colab Link What You'll Learn
Master Process Mining Open in Colab Case metrics, bottlenecks, variants, resources, workflow analysis
Time Series & Anomaly Detection Open in Colab Temporal patterns, trend analysis, anomaly detection

All notebooks automatically install BizLens on first run — just click the Colab badge and run the first cell.


💾 Installation

pip install bizlens

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