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machine-learning-with-r-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

machinelearningnotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

managing-forecast-uncertainty-monte-carlo-r

Estimate the likeness to achieve an annual target at Q3 using R - Managing Forecast Uncertainty for CFOs

matplotlib-tutorial

Matplotlib tutorial for beginner

medium

ml-powered-applications

Companion repository for the book Building Machine Learning Powered Applications

mma-2018-shiny-workshop

Tutorial for MMA 2018 Cohort on Shiny and Web Scraping

mmops

mslearn-aml-labs

Azure Machine Learning Lab Notebooks

nepali_nlp

A python based library for NLP in Nepali language

notebook

Jupyter Interactive Notebook

open-dataset-archive

Open datasets which were not included with Version 2 of CDRC Data (https://data.cdrc.ac.uk/), are included here instead as an archive.

pbpython

Code, Notebooks and Examples from Practical Business Python

practical_machine_learning_project

programmingassignment2

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-baseball

Building Baseball Data Visualizations with Python

python-docs-hello-world

A simple python application for docs

pythonmachinelearning

Practice notebooks for NumPy, Pandas, matplotlib, basic machine learning etc.

pyvalet

Simple, pandas integrated API wrapper for the Bank of Canada Valet API

quantum-neural-networks

This repository contains the source code used to produce the results presented in the paper "Continuous-variable quantum neural networks".

r-quick-tips

Free R-Tips is a FREE Newsletter provided by Business Science. It comes with bite-sized code tutorials every week.

r4ds

R for data science

regression-simplified

repdata_peerassessment1

sandbox

statistical-learning

Lecture Slides and R Sessions for Trevor Hastie and Rob Tibshinari's "Statistical Learning" Stanford course

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

statsusingpython

General statistics and numerical/sceintific computing scripts and notebooks in Python

textract

extract text from any document. no muss. no fuss.