Marko Pavlović's repositories
clean-code-ml
:bathtub: Clean Code concepts adapted for machine learning and data science. Now a free video series: https://bit.ly/3a4k9x3
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
deep-learning-and-rare-event-prediction
Deep Learning and Rare Event Prediction
transformers-text-classification-for-nlp-using-bert-2478096
This repo is for the Linkedin Learning course: Transformers: Text Classification for NLP using BERT
Vinted-Scraper
This is a tool to scrape/download images and data from Vinted & Depop using the API and stores the data in a SQLite database.
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
resources
PyMC3 educational resources
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
BlogPosts
FIles for blog posts
byu_econ_applied_machine_learning
The course work for the applied machine learning course I am teaching at BYU
convpy
Library for lagged conversion rate estimation. Based on the paper "Modeling Delayed Feedback in Display Advertising", Chapelle, 2014.
first_spark_model
Your first Apache Spark model :)
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.
LearningSparkV2
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
MachineLearning
Machine learning for beginner(Data Science enthusiast)
prophet_forecasting
forecasting examples using Facebook Prophet
python-guide
Python best practices guidebook, written for humans.
python-machine-learning-book-3rd-edition
The "Python Machine Learning (3rd edition)" book code repository
recommenders
Best Practices on Recommendation Systems
rethinking
Statistical Rethinking course and book package
rl-bakery
RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.
SBM
Scalable Bayesian Modelling: A comparison
spark
Apache Spark - A unified analytics engine for large-scale data processing
Spark-The-Definitive-Guide
Spark: The Definitive Guide's Code Repository
statistical-rethinking
Solutions to some of the problems in "Statistical Rethinking"
statrethink-course-in-numpyro
Statistical Rethinking: A Bayesian Course Using Python and NumPyro