Discover @fbertran Open Source projects

Frederic Bertrand (@fbertran)

fbertran

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101
Global Rank 200,668 (Top 8 %)
Followers 30
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Registered over 10 years ago
Most used languages

R
54.8 %

HTML
16.1 %

Jupyter Notebook
9.7 %

C
6.5 %

MATLAB
3.2 %

SAS 3.2 %

Go
3.2 %

TeX
3.2 %
Location 🇫🇷 France
Country Total Rank 5,222
Country Ranking

SAS 10

R
50

MATLAB
541

TeX
595

HTML
1,077

Jupyter Notebook
1,582

C
1,867

Go
2,204

plsRglm

plsRglm R package

SelectBoost

A General Algorithm to Enhance the Performance of Variable Selection Methods in Correlated Datasets

ModStatR

bigalgebra

bigalgebra package

plsRcox

plsRcox R package

BioStatR

Companion package for the book. Initiation à la statistique avec R.

Patterns

Patterns R/Bioconductor package

networkABC

R package network ABC

c060

plsdof

plsdof R package

bigPLS

PLS regression (linear) or generalized linear regression (glm) for big data

survAUC

ERI_DS_Course_FD

Course on Fitting Distribution for the European Research Institute on Data Science

plsRbeta

plsRbeta R package

sageR

peperr

peperr R package

logos

Logos for (R) packages

CascadeData

Experimental Data from Cascade Experiments

penalizedSVM

penalizedSVM: Feature Selection SVM using Penalty Functions

m1act_Spring21

Files for m1act Spring21 course

m1act_s1

Files for the course

m1bio_s1

m2csmi_s1_bungee

Incertitudes_Projet_2019_2020

m1bio_s2

TestGoLanguage

Test for the Go Language

m1act_s2

Files for the course regression methods

Cascade

Cascade R package

m2csmi_s1

Files the course

Jupyter Notebook

TD_Stat_Math_1

Magistère 4A Etude de Cas, ENSIEE 3A, DUAS 2 MSA

m1stat_s1

Files for Quality Control course

CE_PM_JSM22

Course on Process Mining for the JSM 2022

BOSS2-S4

A short course on uncertainties and sensitivity analysis

Jupyter Notebook

bootPLS

A non-parametric stable bootstrap-based technique to determine the numbers of components

Math01_tests

Jupyter Notebook