mburkrb43's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
microsoft/ML-For-Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
bradtraversy/design-resources-for-developers
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
donnemartin/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.
CamDavidsonPilon/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 ;)
foambubble/foam
A personal knowledge management and sharing system for VSCode
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
DataTalksClub/machine-learning-zoomcamp
Learn ML engineering for free in 4 months!
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
graviraja/MLOps-Basics
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
AdminTurnedDevOps/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
lensesio/fast-data-dev
Kafka Docker for development. Kafka, Zookeeper, Schema Registry, Kafka-Connect, , 20+ connectors
INRIA/scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
tecosaur/emacs-config
My configuration for Doom Emacs. Mirror of https://git.tecosaur.net/tec/emacs-config.
Pierian-Data/Plotly-Dashboards-with-Dash
This is the repo for the Udemy Course Python Dashboards with Plotly's Dash
blackjax-devs/blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
PacktPublishing/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
moderndive/ModernDive_book
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
aws/dotnet
GitHub home for .NET development on AWS
cpfiffer/julia-bootcamp-2022
PacktPublishing/Interpretable-Machine-Learning-with-Python
Interpretable Machine Learning with Python, published by Packt
ajayarunachalam/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
skhiggins/R_guide
R instructions for our research projects
phonghuule/awssummmitonline
snunnari/structural_behavioral_economics
Python and Julia Code for Structural Behavioral Economics
Apress/Machine-Learning-for-Economics-and-Finance-in-TensorFlow-2
source code
PacktPublishing/Essential-Statistics-for-Non-STEM-Data-Analysts
Hands-On Statistics for Data Science, published by Packt
andreipruteanu/pluralsight
Pluralsight trainings code
Apress/foundation-gatsby-projects
Source Code for 'Foundation Gatsby Projects' by Nabendu Biswas