Pinned Repositories
Data-Science-in-R
Snippets of code for solving common Data Science challenges by using R.
Predicting-Time-Until-Next-Order
Shows how to use a Bayesian Model to Predict Time Until Next Order on non-contractual & continuous business settings. Pros, Cons and Limitations of using such approach are discussed.
Text-Mining-The-New-York-Times-Articles
Provides the tools needed to mine text from The New York Times online articles by using Python and a dictionary text mining technique, given a time range and country of interest.
The-Virtual-Spectator
Aims at making a computer imitate the process of getting to know people that humans do naturally. In other words, it's a face recognition system that trains itself in real-time.
nilmolne's Repositories
nilmolne/Text-Mining-The-New-York-Times-Articles
Provides the tools needed to mine text from The New York Times online articles by using Python and a dictionary text mining technique, given a time range and country of interest.
nilmolne/Predicting-Time-Until-Next-Order
Shows how to use a Bayesian Model to Predict Time Until Next Order on non-contractual & continuous business settings. Pros, Cons and Limitations of using such approach are discussed.
nilmolne/Data-Science-in-R
Snippets of code for solving common Data Science challenges by using R.
nilmolne/The-Virtual-Spectator
Aims at making a computer imitate the process of getting to know people that humans do naturally. In other words, it's a face recognition system that trains itself in real-time.