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Featured Blog Posts – April 2017 Archive (86)

Ranking All 50 States by Average Credit Score of its Citizens

This article was contributed by Statistical Future.

Whether you want it to or not, credit and its availability plays a major role in everyone’s life, whether or not you directly experience it. For the average person, credit scores are mainly going to be used for three things: buying a house, buying a car, and using credit cards.

In the world of business, things get exponentially more complicated and it also ended up leading to a horrible housing crash and recession…

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Added by Emmanuelle Rieuf on April 15, 2017 at 9:30am — 1 Comment

Weekly Digest, April 17

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.

Announcement

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Added by Vincent Granville on April 15, 2017 at 7:30am — No Comments

Hybrid content-based and collaborative filtering recommendations with {ordinal} logistic regression (1): Feature engineering

I will use {ordinal} clm() (and other cool R packages such as…

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Added by Goran S. Milovanović on April 14, 2017 at 11:00pm — No Comments

How Python & Tableau made an easy Data Analysis of Padma Shri Awards

Padma Shri (also Padmashree) is the fourth highest civilian award in the Republic of India, after the Bharat Ratna, the Padma Vibhushan and the Padma Bhushan. Awarded by the Government of India, it is announced every year on India’s Republic Day.

The first time you open up the wikipedia page it’s hard to relate just looking at the HTML Tables that which state has bagged the maximum no. of awards and which…

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Added by Vinay Babu on April 14, 2017 at 6:30pm — 2 Comments

19 Great Blogs Posted in the last 12 Months

This is part of a new series of articles: once or twice a month, we post previous articles that were very popular when first published. These articles are at least 6 month old but no more than 12 month old. The previous digest in this series was posted here a while back. 

19 Great Blogs Posted in the last 12 Months…

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Added by Vincent Granville on April 14, 2017 at 8:00am — No Comments

Customer Churn – Logistic Regression with R

Overview

In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It is also referred as loss of clients or customers. Customer loyalty and customer churn always add up to 100%. If a firm has a 60% of loyalty rate, then their loss or churn rate of customers is 40%. As per 80/20 customer profitability rule, 20% of customers are generating 80% of revenue. So, it is very important…

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Added by Raghavan Madabusi on April 13, 2017 at 6:00pm — 7 Comments

R and Python cheatsheets

I developed R and Python cheatsheets last year. The advanced R version is posted on RStudio Inc. website.

Below links you can find these cheatsheets: 

For original article, click here

Added by Sean Chen on April 13, 2017 at 8:30am — 3 Comments

Understanding Machine Learning: How machines learn?

“If (there) was one thing all people took for granted, (it) was conviction that if you feed honest figures into a computer, honest figures (will) come out. Never doubted it myself till I met a computer with a sense of humor.”

― Robert A. Heinlein, The Moon is a Harsh Mistress

 

This post is the first in a series of articles in which we will explain what Machine Learning is. You don’t have to have formal training or…

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Added by Algolytics on April 13, 2017 at 4:00am — 3 Comments

Churn in a hotel booking site

Someone said customer churn?

Nowadays everyone knows what is customer churn and how to predict and how to handle it. Even the junior data scientists have worked on a part of it (at least). Seniors have already created a prediction model to predict that a customer is going to leave or not.

But is that really simple? The answer is NO of…

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Added by Emre YAZICI on April 13, 2017 at 2:00am — No Comments

How to Become an Omni-Channel Data-Driven Retailer



In today’s digital age where customers are as likely to buy a product from an eCommerce website as from a brick and mortar store, delivering a seamless and value-adding shopping experience has become more important than ever before. The multiple shopping channels available to customers and the competition posed by other retailers have made…

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Added by Ronald van Loon on April 12, 2017 at 11:30am — 1 Comment

Text Normalization with Spark – Part 2

Overview

This is second in a two part series that talks about Text Normalization using Spark.In this blog post, we are going to understand the jargon (jobs,stags and executors) of Apache Spark with Text Normalization application using Spark history server UI. 

Spark History Server UI

Web UI (aka Application UI or webUI or Spark UI) is the web interface of a running Spark application to…

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Added by Raghavan Madabusi on April 12, 2017 at 12:30am — No Comments

Autonomous Cars: See how future cars will have the mind of their own

Here is a blog post featuring a great article of Autonomous cars. Its written by Karen Smith at Goatsofftheroad.

Autonomous cars are on the urge of transforming future of automobile industry. Autonomous cars are self-driving cars with having features like tracking the position of large objects at long range, detecting the edge of the road and lane markings and detect the nearby vehicles while parking with the help of radars and ultrasonic sensors. Radars play a vital…

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Added by Shay Pal on April 11, 2017 at 12:44pm — No Comments

How Machine Learning is Revolutionizing Digital Enterprises

According to the prediction of IDC Futurescapes,  Two-thirds of Global 2000 Enterprises CEOs will center their corporate strategy on digital transformation. A major part of the strategy should include machine-learning (ML) solutions. The implementation of these solutions could change how these enterprises view customer value and internal…

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Added by Ronald van Loon on April 11, 2017 at 2:00am — 2 Comments

Business Intelligence tool strategical advantages

Business Intelligence (BI) software is a valuable investment. May be you are thinking: “Why we have requirement of Business Intelligence?”

To prove this expenditure, Data scientist & decision makers necessity to look at big picture benefit.…

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Added by Priyanka Jain on April 11, 2017 at 1:30am — No Comments

Government Stats Are Ready for Change

Here is a fantastic book review by Ian White . 

Ian is an entrepreneurial product leader with 20 years experience spanning product management and business strategy at the intersection of data science, geospatial software, business intelligence and data acquisition. He has 10 years experience as startup founder and deep expertise geo/mapping, hyperlocal…

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Added by Shay Pal on April 10, 2017 at 3:00pm — No Comments

A Robot Took My Job – Was It a Robot or AI?

Summary:  The argument in the popular press about robots taking our jobs fails in the most fundamental way to differentiate between robots and AI.  Here we try to identify how each contributes to job loss and what the future of AI Enhanced Robots means for employment. 

There’s been a lot of contradictory opinion in the press…

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Added by William Vorhies on April 10, 2017 at 2:00pm — 1 Comment

The Startup Founder’s Guide to Analytics

This article was written by Tristan Handy. Tristan is the founder and president of Fishtown Analytics: helping startups implement advanced analytics.

I’m very confident of that, because today, everyone needs analytics. Not just product, not just marketing, not just finance… sales, fulfillment, everyone at a startup needs analytics today.…

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Added by Emmanuelle Rieuf on April 10, 2017 at 11:00am — No Comments

PySpark Cheat Sheet: Spark in Python

Apache Spark is generally known as a fast, general and open-source engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing. It allows you to speed analytic applications up to 100 times faster compared to technologies on the market today. You can interface Spark with Python through "PySpark". This is the Spark Python API exposes the Spark programming model to Python. 

The cheat sheet below was produced by…

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Added by Vincent Granville on April 10, 2017 at 9:00am — No Comments

Feature Engineering with Tidyverse

In this blog post, I will discuss feature engineering using the Tidyverse collection of libraries. Feature engineering is crucial for a variety of reasons, and it requires some care to produce any useful outcome. In this post, I will consider a dataset that contains description of crimes in San Francisco between…

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Added by Burak Himmetoglu on April 10, 2017 at 7:30am — No Comments

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