mburkrb43

Causal-Inference-and-Discovery-in-Python

Causal Inference and Discovery in Python by Packt Publishing

ModernDive_book

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse

foundation-gatsby-projects

Source Code for 'Foundation Gatsby Projects' by Nabendu Biswas

dotnet

GitHub home for .NET development on AWS

awssummmitonline

emacs-config

My configuration for Doom Emacs. Mirror of https://git.tecosaur.net/tec/emacs-config.

fast-data-dev

Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, Landoop Tools, 20+ connectors

design-resources-for-developers

Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more

scikit-learn-mooc

Machine learning in Python with scikit-learn MOOC

ML-Course-Notes

🎓 Sharing machine learning course / lecture notes.

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

Plotly-Dashboards-with-Dash

This is the repo for the Udemy Course Python Dashboards with Plotly's Dash

msda

Library for multi-dimensional, multi-sensor, uni/multivariate time series data analysis, unsupervised feature selection, unsupervised deep anomaly detection, and prototype of explainable AI for anomaly detector

R_guide

R instructions for our research projects

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 ;)

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

julia-bootcamp-2022

blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

foam

A personal knowledge management and sharing system for VSCode

Machine-Learning-for-Economics-and-Finance-in-TensorFlow-2

source code

structural_behavioral_economics

Python and Julia Code for Structural Behavioral Economics

DevOps-The-Hard-Way-AWS

This repository contains free labs for setting up an entire workflow and DevOps environment from a real-world perspective in AWS

Interpretable-Machine-Learning-with-Python

Interpretable Machine Learning with Python, published by Packt

Essential-Statistics-for-Non-STEM-Data-Analysts

Hands-On Statistics for Data Science, published by Packt

darts

A python library for user-friendly forecasting and anomaly detection on time series.

MLOps-Basics

machine-learning-zoomcamp

Learn ML engineering for free in 4 months!

pluralsight

Pluralsight trainings code

ML-For-Beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Python

All Algorithms implemented in Python