Apache Beam pipelines to make weather data accessible and useful.

It's all in the name

A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session

Property-based testing tutorial

This is github repositories for all data science material I feel important. I would update it daily.

Example notebooks that show how to apply quantum computing in Amazon Braket.

Notebooks based on financial machine learning.

State of the Art Natural Language Processing

My Python (3.x) HackerRank solution(s) =]

Collection of Machine Learning Examples for Azure Databricks

Time Series Forecasting Best Practices & Examples

Starter files, final projects and FAQ for my Complete JavaScript course

JSON time-series of coronavirus cases (confirmed, deaths and recovered) per country - updated daily

Data science interview questions and answers

Passive Investing for the Average Joe

Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.

Sample base images for Databricks Container Services

Repository for hyperparameter tuning

Julia interface for the CPLEX optimization software

Deep Learning for humans

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano

Tensors and Dynamic neural networks in Python with strong GPU acceleration

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

Apache Beam is a unified programming model for Batch and Streaming

Apache Mesos

Scalable Machine Learning with Dask

Deep recommender models using PyTorch.

Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft

Hexagonal hierarchical geospatial indexing system

Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.