Data Science Related Tutorials

By Data Science Renee | Items I find as @becomingdatasci that look like good instructional resources for learning data science techniques. (tutorials, explainers, references, etc.)

How to create a deep learning dataset using Google Images

By onDecember 4, 2017 in Deep Learning, Tutorials<p>PyImageSearch reader José asks:<p>Hey Adrian, thanks for putting together Deep Learning for Computer …

Deep Learning

Names of b.....s badder than Taylor Swift, a class in women's studies?

05 Dec 2017<p>Once again, a Twitter trend sent me to my R prompt… Here is a bit of context. My summary: Taylor Swift apparently plays the bad girl in …

Marie Curie

Installing Python Packages from a Jupyter Notebook | Pythonic Perambulations

Emulating R plots in Python

Jul 11, 2017 <br>6 minute read<p><i>Update: Cook’s distance lines on last plot, and cleaned up the code a bit!</i><p>Recently, as a part of my Summer of Data Science …

Data Science

Jupyter Notebook Viewer

Possible outcomes of a classification task and the confusion matrix¶<p>If we are in a binary classification problem where the two classes are $1$ (call …

Data Science

Neural Networks from Scratch (in R)

This post is for those of you with a statistics/econometrics background but not necessarily a machine-learning one and for those of you who want some …

Deep Learning

Getting Started with tidyverse in R

The tidyverse is a collection of R packages developed by RStudio’s chief scientist Hadley Wickham. These packages work well together as part of …

Data Science

Mapping County Demographic Data in R

<i>Ad:</i><p><i>Share:</i><p>Share on Facebook 84<p>Share on Twitter11<p>Share on Google Plus 0<p>Share on LinkedIn 14<p>Share on Digg<p>Print<p><i>Ari Lamstein, a technology consultant and</i> …

Data Analysis of IMDB Data

Static and dynamic network visualization with R

<b>[June 2017 update]</b> This tutorial is continuously updated and expanded. The latest version includes additional information (more on multiplex graphs, …

Design

R Data Science Tutorials

This repo contains a curated list of R tutorials and packages for Data Science, NLP and Machine Learning. This also serves as a reference guide for …

Data Science

How A Data Scientist Can Improve Productivity

<b>By Dmitry Petrov, @FullStackML</b>.<p>Data science and machine learning are iterative processes. It is never possible to successfully complete a data …

R powered web applications with Shiny (a tutorial and cheat sheet with 40 example apps)

Shiny at its simplest<p>In its simplest form, a Shiny application requires a server function to do the calculations and a user interface. Below we have …

You Must Allow Me To Tell You How Ardently I Admire and Love Natural Language Processing

It is a truth universally acknowledged that sentiment analysis is super fun, and <i>Pride and Prejudice</i> is probably my very favorite book in all of …

A Better Way to Code

Introducing d3.express: the integrated discovery environment.<p>If you’ve ever gotten frustrated trying to figure out why your code doesn’t work, or how …

JavaScript

H-1B Visa Petitions Data Analysis using R (Part II): Data Analysis

<i>This post is part of a series of blogs on exploration of H-1B visa petitions public dataset using R language.</i><p>Part I: Data Wrangling<p>Part II: Data …

NBA Foul Calls and Bayesian Item Response Theory

Posted on April 4, 2017<p>(<b>Author’s note</b>: many thanks to Robert ([@atlhawksfanatic](https://twitter.com/atlhawksfanatic) on Twitter) for pointing out …

Data Science

Playing with dimensions: from Clustering, PCA, t-SNE... to Carl Sagan!

Hi there! This post is an experiment combining the result of <b>t-SNE</b> with two well known clustering techniques: <b>k-means</b> and <b>hierarchical</b>. This will be the …

Data Science

How to mine newsfeed data and extract interactive insights in Python

In this tutorial we'll dive in Topic Mining. We'll analyze a dataset of newsfeed extracted from more than 60 sources. We'll show how to process it, …

Data Science

Learning AI if You Suck at Math — P4 — Tensors Illustrated (with Cats!)

Learning AI if You Suck at Math — P4 — Tensors Illustrated (with Cats!)<p>Welcome to part four of Learning AI if You Suck at Math. If you missed parts …

Beginner’s Guide to Customer Segmentation

This post originally appeared on the Yhat blog. <b>Yhat</b> is a Brooklyn based company whose goal is to make data science applicable for developers, data …

What's Wrong With My Time Series

What’s wrong with my time series? Model validation without a hold-out setTime series modeling sits at the core of critical business operations such …

Data Science

Convolutional neural net for teeth detection

In this blog post, you will learn how to create a complete machine learning pipeline that solves the problem of telling whether or not a person in a …

#Examples

#Basic Without Scales<p>#Tooltips<p>#Responsive with Types and Hover<p>Example showing how to dynamically change anntation types<p>#Reimagining the Circle …

Creating Scatter plot Matrix in Tableau

In this article we are going to learn to create scatter plot matrix for the chosen dataset. Scatter plot matrix is a great way to roughly determine …

Data Science

Exploring the Common Crawl with Python

Common Crawl is a nonprofit organization that crawls the web and provides the contents to the public free of charge and under few restrictions. The …

R for Excel Users

R for Excel Users

Data Science

Poor Donald – his tweets keep getting more negative

(This article was first published on <b>jacobsimmering.com</b>, and kindly contributed to R-bloggers)<p>Last summer, David Robinson did this interesting text …

Donald Trump