steam-reviews

ada-hw2

styled

fifa18

Twitter-US-Airline-Sentiment-Analysis

did-someone-get-robbed-at-iit-today

Repository - http://db.csail.mit.edu/labdata/labdata.html

sensor-data-analysis

terrorist-attacks

In this notebook I would like to share how to process the work with text to build topics. To make it more attractive - apply NLP to the Stock Descriptions.
We will load and build the models with cool 3d visualization.
I encourage you to clone this notebook and play with every parameter to fine tune the result as your sticky mind would like.

nlp-plot-in-3d-stocks-description

portfolio_manager

evalport

relative-valuation

utility-vs-payment-tokens-indices

gold-variance-analysis

Python_para_Trading

algorithmic-portfolio-optimization

naive-risk-parity

twitter

risk-dashboard

kyso-docker-image

1. Dr. John Snow

Dr. John Snow (1813-1858) was a famous British physician and is widely recognized as a legendary figure in the history of public health and a leading pioneer in the development of anesthesia. Some even say one of the greatest physicians of all time.
As a leading advocate of both anesthesia and hygienic practices in medicine, he not only experimented with ether and chloroform but also designed a mask and method how to administer it. He personally administered chloroform to Queen Victoria during the births of her eighth and ninth children, in 1853 and 1857, which assured a growing public acceptance of the use of anesthetics during childbirth.
But, as we will show later, not all his life was just a success. John Snow is now also recognized as one of the founders of modern epidemiology (some also consider him as the founder of data visualization, spatial analysis, data science in general, and many other related fields) for his scientific and pretty modern data approach in identifying the source of a cholera outbreak in Soho, London in 1854, but it wasn't always like this. In fact, for a long time, he was simply ignored by the scientific community and currently is very often mythified. 
In this notebook, we're not only going to rediscover his "data story", but reanalyze the data that he collected in 1854 and recreate his famous map (also called The Ghost Map).

datacamp-ghost-map

seaborn-intro

Data Visualisation: An Intro to Plotly's Cufflinks

cufflinks-intro

Cloning and Extending Published Notebooks on Kyso

fork-extend-publish

Launch Jupyterlab on AWS EC2 and Publish to Kyso

aws-jupyterlab

Launching Jupyterlab on Digital Ocean and Publish to Kyso

digitalocean-jupyterlab

Launch Jupyterlab on Azure and Publish to Kyso

azure-jupyterlab

Launch Jupyterlab on Google Cloud Platform and Publish to Kyso

gcp-jupyterlab

kyso-tips-and-tricks

bike-weather

Quick Fix: How to Install Packages from Kyso's Terminal

kyso-terminal

machine-learning-101

fundamental-theorem-of-calculus

multiregression_octave

a-journey-to-the-tip-of-neural-networks

heart-disease-prediction-using-data-mining

unsupervised-learning-hacker-statistics

Capital in the 21st Century - Growth Illusions and Realities

pikkety-chap2

Capital in the 21st Century - Income and Output

pikkety-chap1

Capital in the 21st Century - Introduction

pikkety-intro

Data Visualisation: An Intro to Matplotlib

matplotlib-intro

bokeh-intro

plotly-intro

jupyterlab-publish

test

Пример калибровки CityAir DUST (NaCl, DustTrak 8533)

vniiftri_report

global-superstore

181211-nacl-dusttrak-cityair

recreating-john-snows-ghost-map

This is a neural network implementation with different number of linear layers and neurons in hidden layers.

Kyso beta

Collaborative & Reproducible Data Science

Jupyter notebooks published as beautifully-rendered blogs and dashboards for effective data visualization, analysis and exploration

Focus on your code

Community

Streamlined Workflow

Collections

Introduction

Welcome to Kyso! Get started with these tutorials.

Plotting Guides

For beginners! A collection of short visualizations on various plotting libraries and other useful data science techniques.

Exploratory Data Analysis

For the adventurous! Be an active reader of these cool studies that bring data to life.

Finance

Explore and explain patterns in quantitative data for portfolio optimization or predictive analytics.

Machine Learning

From simple linear regression to more complex neural networks, explore these applications of machine learning algorithms.

Pikkety's Capital

Economic series visualizing Thomas Pikkety’s critiques of the historical evolution of the concentration of income and wealth worldwide.

Featured studies