radugrosu

aoc

aoc2019

Advent of Code in Rust (inspired by Brian Myers)

BAP

Bayesian Analysis with Python (Second Edition)

blog_os

minimalistic rust os

bookdown

Authoring Books and Technical Documents with R Markdown

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

MIT-6.008.1x-class-notes

PRML

PRML algorithms implemented in Python

pytudes

Python programs to practice or demonstrate skills.

random-forest-importances

Code to compute permutation and drop-column importances in Python scikit-learn random forests

clearml

ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

dataproducts

Shiny app for exploring the OECD Better Life Index

ExData_Plotting1

Plotting Assignment 1 for Exploratory Data Analysis

gettingandcleaningdata

Getting and Cleaning Data

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Machine-Learning-Resources

Curated list of resources

polars

Fast multi-threaded DataFrame library in Rust | Python | Node.js

practical-machine-learning

ProgrammingAssignment2

Repository for Programming Assignment 2 for R Programming on Coursera

pymc-resources

PyMC educational resources

r4ds

R for data science

radugrosu.github.io

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

RepData_PeerAssessment1

Peer Assessment 1 for Reproducible Research

tf2_course

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

ThinkBayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

vim

zero2prod

zotero-cli

Command-line interface for Zotero