Safouane 's repositories
javascript
JavaScript Style Guide
peopleanalytics-regression-book
Handbook of Regression Modeling in People Analytics
collapse
Advanced and Fast Data Transformation in R
DataFrame
C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types, continuous memory storage, and no pointers are involved
Reverse-Engineering-Tutorial
A FREE comprehensive reverse engineering course covering x86, x64, 32-bit ARM & 64-bit ARM architectures.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
rinside
Seamless embedding of R in C++ programs
econocharts
Microeconomics/macroeconomics charts in ggplot2
book
Source code for INFO 340 course book.
scikit-learn
scikit-learn: machine learning in Python
2020-jupyterbook-with-turing-way
2020-tutorial created by GitHub Classroom
lectures
Lecture notes for EC 607
CalCAT
California COVID Assessment Tool
18S191
Course 18.S191 at MIT, fall 2020 - Introduction to computational thinking with Julia:
knitr
A general-purpose tool for dynamic report generation in R
spring-2020
Spring 2020 AEM 7130: Dynamic Optimization/Computational Methods
shiny-data-portal
A free Shiny Application to host, filter, aggregate and and download data in various formats
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
XaringanTutorial
A quick tutorial on making slides using xaringan
MANUSEPAP
This project attempt to measure the incidence of European and American macroeconomic news on EUR/USD
dog_days
Using AWS RDS and S3 to store data about my dogs' vaccination and medical records. Creating an R shiny app to keep track of and share records with vets. :dog: :dog:
RStudioConf2019Slides
Links to slides for rstudio::conf 2019
stanford-CS229
Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
Statistics_Python
training python for statistics
Statistics_Stata
training Stata for statistics
hello-world
just another repository
r4ds
R for data science
perceptions
Perceptions of Probability and Numbers