vechrischang Goto Github PK

bard-api

The python package that returns response of Google Bard through API.

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

dask-xgboost

deeplearning.ai

digital-marketing-analytics

This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analysis, Customer Segmentation, Recommendation Systems, and Social Media Analytics

docker

Docker official jenkins repo

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

fastapi-best-practices

FastAPI Best Practices and Conventions we used @ hi.peerlink.me

fastapi-ml

fb-request-lib

:earth_americas: A friendly repository for using Facebook Marketing API to study marketable audiences

gapandas

GAPandas is a Python package for accessing Google Analytics API data using Pandas, for use in models, reports or visualisations.

googleads-python-lib

The Python client library for Google's Ads APIs

gradio

Create UIs for prototyping your machine learning model in 3 minutes

hdbscan

A high performance implementation of HDBSCAN clustering.

hendrix

A python web server focused on async and offbeat network traffic. Named for the thought, "who is a 'twisted' Django R?" (though it works with any WSGI app).

jupyterlab-git

A Git extension for JupyterLab

kafka

Mirror of Apache Kafka

kubernetes

Production-Grade Container Scheduling and Management

ml-case

ml-case-old

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mousetracks

Track and display mouse and keyboard information for different applications.

nano-degree-ml-engineer

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

performance

:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

predictor

Source code for my blog post about "How to predict the success of your marketing campaign"

python

Docker Official Image packaging for Python

python-bigquery

skforecast

Time series forecasting with scikit-learn models

statsmodels.jl

Specifying, fitting, and evaluating statistical models in Julia