In the previous post (https://statcompute.wordpress.com/2016/01/01/the-power-of-decision-stumps), it was shown that the boosting algorithm performs extremely well even with a simple 1-level stump as the base learner and provides a better performance...continue reading.
A decision stump is the weak classification model with the simple tree structure consisting of one split, which can also be considered a one-level decision tree. Due to its simplicity,...continue reading.
Map() is a convenient routine in Python to apply a function to all items from one or more lists, as shown below. This specific nature also makes map() a perfect...continue reading.
This is an article we recently published on “Renewable and Sustainable Energy Reviews”. It starts with a thorough review of the methods used for wind resource assessment: from algorithms based...continue reading.
I work with R on both Mac OS and Windows. On Windows, you get the option to copy the path of a file or folder by holding Shift while right-clicking...continue reading.
In my previous blog post, I analyzed my Twitter archive and explored some aspects of my tweeting behavior. When do I tweet, how much do retweet people, do I use...continue reading.
I’ve got a NetAtmo weather station. One can download the measurements from its web interface as a CSV file. I wanted to give time series analysis with the extraction of...continue reading.
Evaluation metrics play a critical role in machine learning ecosystem. Especially for machine learning products, evaluation metrics are like the heart beats. They show how healthy the model is and...continue reading.
Evaluation metrics play a critical role in machine learning ecosystem. Especially for machine learning products, evaluation metrics are like the heart beats. They show how healthy the model is and...continue reading.
The matrixStats package provides highly optimized functions for computing common summaries over rows and columns of matrices. In a previous blog post, I showed that, instead of using apply(X, MARGIN...continue reading.
Back in January 2013 I wrote a blog post showing how to implement a basic cluster/block bootstrap in R. One drawback of the cluster bootstap is the length of time...continue reading.
When conducting Cohort Analysis, one of the most important measures is Customer Retention Rate. I will share a few ideas for visualizing this parameter When conducting Cohort Analysis, one of...continue reading.
I started learning the statistical programming language R this past summer, and discovering Hadley Wickham’s data visualization package ggplot2 has been a joy and a revelation. When I think back...continue reading.
In the world of big data and real-time analytics, Microsoft users are still living with the constraints of the bygone days of little data and basic numeracy.If you happen to...continue reading.
Learn how to set up an Amazon AWS Ubuntu instance on which you can install R , RStudio, OpenCPU, or Shiny Server. The post Shiny 1: Amazon AWS for R...continue reading.
I’m currently working on a paper (with my colleague Vincent Vergnat who is also a Phd candidate at BETA) where I want to estimate the causal impact of the birth...continue reading.
Below is a piece of Python code allowing to download option chains from NASDAQ website. It is basically a big function relying heavily on BeautifulSoup and wrapped into a class (‘c’est chic’)....continue reading.
This article is originally published at https://lcolladotor.github.io/ Thanks for visiting r-craft.org This article is originally published at https://lcolladotor.github.io/ Please visit source website for post related comments.continue reading.
Are you in Montreal and curious about big data? Well here is your chance to attend a session about the same at Concordia University on Tuesday, Nov. 03 at 6:00...continue reading.
This article is originally published at https://lcolladotor.github.io/ Thanks for visiting r-craft.org This article is originally published at https://lcolladotor.github.io/ Please visit source website for post related comments.continue reading.
Artificial intelligence / Deep neural networks / Keras / R / R News / Spark
April 22, 2024
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
