StephanKalika

StephanKalika's Stars

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  20.3k598555.2k

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• afshinea/stanford-cs-229-machine-learning

  VIP cheatsheets for Stanford's CS 229 Machine Learning

  17.6k715263.9k

• justinamiller/SoftwareArchitect

  Path to a Software Architect

  8.7k2640776

• j-delaney/easy-application

  Over 400 software engineering companies that are easy to apply to

  7.8k315441k

• jpmorganchase/python-training

  Python training for business analysts and traders

  Language:Jupyter Notebook6.3k255131.1k

• JWarmenhoven/ISLR-python

  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

  Language:Jupyter Notebook4.2k205152.4k

• quantopian/research_public

  Quantitative research and educational materials

  Language:Jupyter Notebook2.4k205191.6k

• esokolov/ml-course-msu

  Lecture notes and code for Machine Learning practical course on CMC MSU

  Language:Jupyter Notebook8731262316

• ShichenXie/scorecardpy

  Scorecard Development in python, 评分卡

  Language:Python7193595301

• lindeloev/tests-as-linear

  Common statistical tests are linear models (or: how to teach stats)

  Language:JavaScript482232292

• emoen/Machine-Learning-for-Asset-Managers

  Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

  Language:Python481115163

• ShichenXie/scorecard

  Scorecard Development in R, 评分卡

  Language:R159186963

• nbicocchi/learn-software-engineering

  Basic course about software development, engineering, and design. In particular: process models, requirements specification, UML, and design patterns.

  11002