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30-days-of-python

30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advances-in-financial-ml-notes

appliedstats

:bar_chart: Methods of Applied Statistics Course Textbook Repository

approx-queueing-theory

Approximations to the Erlang C queue length formula for M/M/n queues

automl-in-healthcare-review

Automated machine learning: Review of the state-of-the-art and opportunities for healthcare

berkeleytextbooks

Textbooks (EE)CS majors at Berkeley would find helpful

beyondmlr

Repo for January 2021 version of Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R. The rendered version can be found at: https://bookdown.org/roback/bookdown-BeyondMLR/

biopharma-app

A workshop to learn reactive visualization

bookdown

Authoring Books and Technical Documents with R Markdown

bookdown-demo

A minimal book example using bookdown

buy_or_not

cheatsheets

RStudio Cheat Sheets

course-nlp

A Code-First Introduction to NLP course

cs-video-courses

List of Computer Science courses with video lectures.

cs2900-lab-1

First CS2900 lab

cssc-2021-r-shiny-workshop

What makes R Shiny so shiny? A step-by-step introduction to interactive dashboards in R

dalex

moDel Agnostic Language for Exploration and eXplanation

data-science--cheat-sheet

Cheat Sheets

dev-ii

For 'Economics Development II' PhD seminar at CUNY Graduate Center. Generates docs at:

docplex-examples

These samples demonstrate how to use the DOcplex library to model and solve optimization problems.

financialengineering_ir_xva

fiveminutestats

A repo of short "vignettes" illustrating statistical concepts

gcloud

Google Cloud tutorial and setup

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

independent_component_analysis

From scratch Python implementation of the fast ICA algorithm.

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)

islr-python

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

islr.jl

JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"

kym