Pinned Repositories
advent-of-code-2023
Advent of Code 2023 (Rust)
amazon-sagemaker-examples
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
amazon-studio-demos
app-deployment
App deployment on Kubernetes with Terraform
ArdanUltimateRust-5Days
Accompanying the 5-class, 1 class per week series of Ultimate Rust: Foundations
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
aws-machine-learning-university-accelerated-cv
aws-machine-learning-university-accelerated-nlp
Scientific-Computing-Cpp
scikit-learn
scikit-learn: machine learning in Python
ccaloian's Repositories
ccaloian/Scientific-Computing-Cpp
ccaloian/scikit-learn
scikit-learn: machine learning in Python
ccaloian/bad-data-guide
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
ccaloian/Bayesian-Analysis-with-Python
Bayesian Analysis with Python by Packt
ccaloian/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
ccaloian/discovering_modern_cpp
Source codes of Discovering Modern C++
ccaloian/Full-Stack-Foundations
Solution Code to Full Stack Foundations (ud088)
ccaloian/machine-learning-systems-design
A booklet on machine learning systems design with exercises
ccaloian/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ccaloian/project-template
A template for scikit-learn extensions
ccaloian/Stanford_CS20SI--TensorFlow-for-Deep-Learning-Research
This repo contains my solution to the Stanford course "TensorFlow for Deep Learning Research" under CS20SI code by Chip Huyen and Prof. Christopher Manning in 2018.
ccaloian/UnitConverter
JetBrains Academy project.
ccaloian/univariate-linear-regression
Example data science project used in Datacamp's Unit Testing for Data Science in Python course