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30-days-of-python

advance-bayesian-modelling-with-pymc3

algorithms-exercises

Created with CodeSandbox

algorithms_in_ipython_notebooks

A repository with IPython notebooks of algorithms implemented in Python.

app_deep_learning

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

automlprojects

Auto Machine Learning (Auto ML) Bootcamp: Build 15 Projects - Udemy class

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

aws-ec2-course

20 Must know EC2 things and 10 must do EC2 labs for beginners. Full course available on youtube

aws-sdk-pandas

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

bayes_course_july2020

Course materials for short course on Bayesian computation

bayesian-model-evaluation

Presented at Scipy Conference 2019

bayesian-stats-modelling-tutorial

How to do Bayesian statistical modelling using numpy and PyMC3

books-clean-architecture

Initial public repo for the Clean Architecture book club. Featuring a structured discussion of Robert C. Martin (Uncle Bob's) 2012 book.

clean-code-python

:bathtub: Clean Code concepts adapted for Python

cloud-data-analysis-at-scale

Course taught at Duke MIDS/UNCC

code-vault

Collection of useful notebooks and snippets

code_snippets

coding-problems

Solutions for various coding/algorithmic problems and many useful resources for learning algorithms and data structures

complete-intro-to-computer-science

Complete Intro to Computer Science, as taught by Brian Holt for Frontend Masters

complete-python-course

A repository of code from my Complete Python Course on Udemy.

coms4995-s20

Applied Machine Learning - Spring 20

cornell-cs5785-2020-applied-ml

Teaching materials for the applied machine learning course at Cornell Tech (online edition)

course-content

Summer course content for Neuromatch Academy

data-science-interview-questions-and-answers-general-

Data Science Questions and Answers (General) for beginner

data-science-interviews

Data science interview questions and answers

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.

data-science-tutorial

Code material for a data science tutorial

datascienceresources

Open Source Data Science Resources.

datasciencewithpython

Rune - Learn Data Science with focus on adding value with the most efficient tech stack.