mwahab1 Goto Github PK

aridanalysis

aRidanalysis: DRY out your regression analysis!

awesome-machine-learning

MW_LI: A curated list of awesome Machine Learning frameworks, libraries and software.

bigdatarstrata2017

MW - GD All material for "Modeling big data with R, sparklyr, and Apache Spark" Strata Hadoop 2017.

cleaning_data_project

Getting and Cleaning Data Project

coffee

MW_LI: COmplete your Favourite FEEd

course-starter-python

👩‍🏫🐍 Starter repo for building interactive Python courses

course-starter-r

👩‍🏫🇷 Starter repo for building interactive R courses

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

data-analysis-and-machine-learning-projects

MW_LI Repository of teaching materials, code, and data for RandyOlson data analysis and machine learning projects.

datascience-box

Data Science Course in a Box

datascience.eda.r

This package includes functions helping with common tasks during EDA stage of a data science project

datasciencecoursera

test

datasharing

The Leek group guide to data sharing

diagrammer

Create graph diagrams and flowcharts using R.

dygraphs

MW_GOOD_R_GRPAH_PKG R interface to dygraphs

eda.utilsr

electron

:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

electronjs.org

Electron website

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

ffn

ffn - a financial function library for Python

free-programming-books

:books: Freely available programming books

freecodecamp

freeCodeCamp.org's open source codebase and curriculum. Learn to code for free.

ggnet

Examples and data for geom_net

go

The Open Source Data Science Masters

googlevis

Interface between R and the Google Chart Tools

goplus

GoPlus - The Go+ language for data science

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

instaeda_py

Quick and easy way to clean data and build exploratory data analysis plots

instaeda_r

introduction-machine-learning