bchoivw

bchoivw's Stars

• vinta/awesome-python

  An opinionated list of awesome Python frameworks, libraries, software and resources.

  Language:Python225k6.1k024.9k

• psf/black

  The uncompromising Python code formatter

  Language:Python39.2k2302.6k2.5k

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.5k1528111.7k

• marcotcr/lime

  Lime: Explaining the predictions of any machine learning classifier

  Language:JavaScript11.6k2616341.8k

• DataTalksClub/mlops-zoomcamp

  Free MLOps course from DataTalks.Club

  Language:Jupyter Notebook11.2k186932.1k

• aws/amazon-sagemaker-examples

  Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

  Language:Jupyter Notebook10.1k2661.4k6.8k

• amueller/introduction_to_ml_with_python

  Notebooks and code for the book "Introduction to Machine Learning with Python"

  Language:Jupyter Notebook7.5k3671494.6k

• h2oai/h2o-3

  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

  Language:Jupyter Notebook6.9k3879.5k2k

• aaronwangy/Data-Science-Cheatsheet

  A helpful 5-page machine learning cheatsheet to assist with exam reviews, interview prep, and anything in-between.

  Language:TeX5k1528715

• nalepae/pandarallel

  A simple and efficient tool to parallelize Pandas operations on all available CPUs

  Language:Python3.7k29221211

• mito-ds/mito

  The mitosheet package, trymito.io, and other public Mito code.

  Language:Jupyter Notebook2.3k22362160

• parrt/random-forest-importances

  Code to compute permutation and drop-column importances in Python scikit-learn models

  Language:Jupyter Notebook6012239131

• amueller/COMS4995-s19

  COMS W4995 Applied Machine Learning - Spring 19

  Language:Jupyter Notebook304340140

• acantril/docker-fundamentals

  Course Assets for https://learn.cantrill.io/p/docker-fundamentals/

  Language:JavaScript23691230

• casact/chainladder-python

  Actuarial reserving in Python

  Language:Python1911928471

• koalaverse/vip

  Variable Importance Plots (VIPs)

  Language:R1861012024

• toothbrush/debounce-mac

  Frustrated that OS X doesn't have a simple software keyboard debouncer. Here's my hack.

  Language:Objective-C1698630

• KaveIO/PhiK

  Phi_K correlation analyzer library

  Language:Python157133229

• hyunblee/ISLR-with-Python

  Introduction to Statistical Learning with R을 Python으로

  Language:Jupyter Notebook9717053

• lrnv/Copulas.jl

  A fully `Distributions.jl`-compliant copula package

  Language:Julia9438310

• MHaringa/insurancerating

  R-package for actuarial pricing

  Language:R696817

• kasaai/explain-ml-pricing

  Towards Explainability of Machine Learning Models in Insurance Pricing

  Language:TeX288169

• smartystreets/smartystreets-python-sdk

  The official client libraries for accessing SmartyStreets APIs from Python 2.7 and 3.5

  Language:Python28112330

• arthurtyukayev/python-safer

  A web scraping API written in Python to fetch data from the Department of Transportation's https://safer.fmcsa.dot.gov

  Language:Python229421

• oliver-wyman-actuarial/easyr

  Makes difficult operations easy. Includes functions for shorthand, type conversion, data wrangling, and workflow.

  Language:R204395

• clrife/CarPriceAnalysis

  Capstone project from General Assembly Data Science Immersive course

  Language:Jupyter Notebook181113

• williamhaley/dot-safer-fmcsa-api

  Language:Python12506

• cran/actuar

  :exclamation: This is a read-only mirror of the CRAN R package repository. actuar — Actuarial Functions and Heavy Tailed Distributions. Homepage: https://gitlab.com/vigou3/actuar Report bugs for this package: https://gitlab.com/vigou3/actuar/-/issues

  Language:R115

• casact/double_lift

  Double Lift Charts in Python

  Language:Python8217