10-machine-learning-blueprints-you-should-know-for-cybersecurity

10 Machine Learning Blueprints You Should Know for Cybersecurity, published by Packt

30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

algorithmic-trading-with-python-cookbook

Algorithmic Trading with Python Cookbook, published by Packt

apiconnectors

A curated list of example code to collect data from Web APIs using DataPrep.Connector.

atoti_notebooks

atoti notebooks gallery

autoscraper

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

awesome-notebooks

Ready to use data science templates, organized by tools to jumpstart your projects and data products in minutes. 😎 published by the Naas community.

azure-tdsp-projecttemplate

TDSP: Data science project template repository with standardized directory structure and document templates to support efficient project execution and collaboration.

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

bloxs

Display your data in an attractive way in your notebook!

building-data-science-applications-with-fastapi

Building Data Science Applications with FastAPI, Published by Packt

connector-x

Fastest library to load data from DB to DataFrames in Rust and Python

creditpy

A Credit Risk Scoring and Validation Package

daft

Python DataFrame for Complex Data

daft-1

Render probabilistic graphical models using matplotlib

data-engineering-zoomcamp

Free Data Engineering course!

data-science-khuyentran

Collection of useful data science topics along with code and articles

data-science-template

Template for a data science project

datachain

DataChain 🔗 Process and curate unstructured data using local ML models and LLM calls

dataset

datasets for ML experiments

datatable

A Python package for manipulating 2-dimensional tabular data structures

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepchecks

Deepchecks is a Python package for comprehensively validating your machine learning models and data with minimal effort. See our docs: https://docs.deepchecks.com

dmls-book

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

docquery

An easy way to extract information from documents

driving-data-quality-with-data-contracts

essential-pyspark-for-scalable-data-analytics

Essential PySpark for Scalable Data Analytics, published by Packt

explainerdashboard

Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.