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Vincent Granville's Blog – December 2019 Archive (15)

Weekly Digest, December 30

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. To subscribe, follow this link.  …

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Added by Vincent Granville on December 29, 2019 at 4:30pm — No Comments

Thursday News, December 26

Here is our selection of featured articles and resources, posted since Monday:

Technical Resources

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Added by Vincent Granville on December 26, 2019 at 12:30pm — No Comments

Weekly Digest, December 23

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. To subscribe, follow this link.  …

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Added by Vincent Granville on December 22, 2019 at 4:00pm — No Comments

Thursday News, December 19

Here is our selection of featured articles and technical resources posted since Monday.

Resources

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Added by Vincent Granville on December 19, 2019 at 10:00am — No Comments

Weekly Digest, December 16

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. To subscribe, follow this link.  …

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Added by Vincent Granville on December 15, 2019 at 4:00pm — No Comments

Thursday News, December 12

Here is our selection of featured articles and technical resources posted since Monday:

Technical Resources

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Added by Vincent Granville on December 12, 2019 at 12:00pm — No Comments

The Rise of Fake News: A Machine Learning Challenge

Guest blog by Faruqui Ismail and NookaRaju Garimella.

Reporters with various forms of "fake news" from an 1894 illustration by Frederick Burr…

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Added by Vincent Granville on December 12, 2019 at 10:31am — No Comments

Optimal Binning for Scoring Modeling (R Package)

What is Binning?

Binning is the term used in scoring modeling for what is also known in Machine Learning as Discretization, the process of transforming a continuous characteristic into a finite number of intervals (the bins), which allows for a better understanding of its distribution and its relationship with a binary variable. The bins generated by the this process will eventually become the attributes of a…

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Added by Vincent Granville on December 11, 2019 at 11:12am — No Comments

Data Cleaning and Wrangling With R

Originally posted by Michael Grogan.

One of the big issues when it comes to working with data in any context is the issue of data cleaning and merging of datasets, since it is often the case that you will find yourself having to collate data across multiple files, and will need to rely on R to carry out functions that you would normally carry out using commands like VLOOKUP in Excel.

The…

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Added by Vincent Granville on December 8, 2019 at 7:50pm — No Comments

Weekly Digest, December 9

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. To subscribe, follow this link.  …

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Added by Vincent Granville on December 8, 2019 at 3:30pm — No Comments

Python: Implementing a k-means algorithm with sklearn

Originally posted by Michael Grogan. 

The below is an example of how sklearn in Python can be used to develop a k-means clustering algorithm.

The purpose of k-means clustering is to be able to partition observations in a dataset into a specific number of clusters in order to aid in analysis of the data. From this perspective, it has particular value from a data visualisation perspective.

This post explains how…

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Added by Vincent Granville on December 6, 2019 at 12:22pm — No Comments

Visualizing New York City WiFi Access with K-Means Clustering

Visualization has become a key application of data science in the telecommunications industry.

Specifically, telecommunication analysis is highly dependent on the use of geospatial data. This is because telecommunication networks in themselves are geographically dispersed, and analysis of such dispersions can yield valuable insights regarding network…

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Added by Vincent Granville on December 6, 2019 at 12:12pm — No Comments

Predicting Hotel Cancellations with Support Vector Machines and SARIMA

This is Part 1 of a three part study on predicting hotel cancellations with machine learning. Originally posted by Michael Grogan. 

Logistic Regression and SVM

Hotel cancellations can cause issues for many businesses in the industry. Not only is there the…

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Added by Vincent Granville on December 6, 2019 at 11:30am — No Comments

Thursday News, December 5

Here is our selection of featured articles and technical resources posted since Monday:

Upcoming Webinar

Technical Resources

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Added by Vincent Granville on December 5, 2019 at 12:30pm — No Comments

Weekly Digest, December 2

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. To subscribe, follow this link.  …

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Added by Vincent Granville on December 1, 2019 at 3:00pm — No Comments

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