Machine Learning
The following content has been created in order to present machine learning courses, from the beginner to the advanced Data Scientist. Theses item consisted in the explanation of multiples features included into R (Rstudio). Mainly, the work is shared as open-souce materials. To permit the students to work.
text-mining tips/tricks : organizing barcharts
Classification : Public
Type : Slides and demo
“Astuces en text-mining : organiser ses diagrammes en barres”, is an introducing , tips and tricks to create and organize barcharts on Rstudio. By using dplyr library, or native functions such as within. It helps you to have a better knowledge in barcharts data visualisation.
text-mining tips/tricks : removeSparseTerms
Classification : Public
Type : Slides and demo
“Astuces en text-mining : removeSparseTerms”, is a presentation in french created to help you to understand the removeSparseTerms function included into R (tm package). This function is used on plenty of softwares, marketers, or SEO gurus and is rarely or almost never known perfectly by the developer. Most of the developers thinks that this function permits to view the DNA once an heatmap or a cluster dendrogram is created while this function is used, and indeed it is misunderstood globally.
text-mining tips/tricks : K-means algorithm
Classification : Public
Type : Slides and demo
“Text-mining : Clusterisation avec l’algorithme K-means “, is a presentation in french created to helps you to understand the basics for the k-means algorithms, this presentation use the packages factoextra, NbClust, and cluster packages for making the data visualization. The K-means technique permit to resolves taxonomy problems. Theses techniques are used in plenty of levels such as medecine, hosting, scientific analysis etc…
ctrl+f agency Operating System
Classification : Public
Type : Operating System
Rstudio for OrangePI, is the cheapest IOT device with the best price/performance ratio, do not hesitate to click on the image if you wish to view the specs. Firstly the project has been created to help the student, the apprentice, the engineer to have a mean to train itself for working or studying, disregarding his living standard. Moreover some articles has been created on the blog.
Visualising Risky Words
Classification : Public
Type : source code
Visualising risky words on rstudio, with ggplot2 and tm packages, is a test of data visualisation done on an article from “le monde” titled “Laissé pour mort à l’Everest” . Suprisingly the algorithm of data visualisation programmed based on a PCA Analysis technique, permit to display and extract the identity of the writer of the book successfully.
I’m quite pleased with the inmoofatirn in this one. TY!