Dennis055
MasterCard ; Ex-Apple. Bring data value into business. Specialized in quantitative marketing, product data science, and supply chain analytics
MasterCard D&STaiwan
Dennis055's Stars
pymc-labs/pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
Sinaptik-AI/pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
AutoViML/pandas_dq
Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
MasaAsami/pysynthdid
Synthetic difference in differences for Python
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
SelfExplainML/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
andrewwang7/findbillion_stocktw
myrthings/giraffe-startups
Code to discover comprehensive key metrics for startups
open-risk/transitionMatrix
Statistical analysis and visualization of state transition phenomena
finos/perspective
A data visualization and analytics component, especially well-suited for large and/or streaming datasets.
faridrashidi/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
sibylhe/mmm_stan
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
pyjanitor-devs/pyjanitor
Clean APIs for data cleaning. Python implementation of R package Janitor
kedro-org/kedro
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Nikhilkohli1/Olist-Marketing-Analytics
Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment
uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
cerlymarco/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
JifuZhao/120-DS-Interview-Questions
My Answer to 120 Data Science Interview Questions
wwrechard/pydlm
A python library for Bayesian time series modeling
ikatsov/tensor-house
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
microsoft/responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
dominance-analysis/dominance-analysis
This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.
finlab-python/finlab_crypto
Documentation
interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
oegedijk/explainerdashboard
Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.
BCG-X-Official/facet
Human-explainable AI.
markdregan/Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
ourownstory/neural_prophet
NeuralProphet: A simple forecasting package