Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including ex…

A repository for mathematics, machine learning and deep learning formula sheets created by Fady Morris

Source code for "Database Performance at Scale: A Practical Guide (Apress, 2023)," by Felipe Cardeneti Mendes, Piotr Sarna, Pavel Emelyanov & Cynthia Dunlop

This repo includes ChatGPT prompt curation to use ChatGPT better.

Code for the paper "Machine-Guided Discovery of a Real-World Rogue Wave Model" (Häfner et al., 2023)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The Official Repository of Mastering Financial Pattern Recognition

Errata and code for Effective Pandas book

A primer on pytest

Library for exploring and validating machine learning data

Data Science Feature Engineering and Selection Tutorials

live training

A very basic Python CLI tool without dependencies using the argparse module

Demo of FastAPI

Example code for the book Fluent Python, 1st Edition (O'Reilly, 2015)

The ESPPy module enables you to connect to a SAS ESP server, access information about the server, manage and construct projects, and interact with windows in your projects.

Stochastic gradient descent from scratch for linear regression

Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforce…

Animation engine for explanatory math videos

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

A single-serving-site that provides a reference for Python's strftime formatting options

Bonus materials, exercises, and example projects for our Python tutorials

Google IT Automation with Python Professional Certificate - Practice files

Python library for discrete choice modeling

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The SAS Deep Learning Python (DLPy) package provides the high-level Python APIs to deep learning methods in SAS Visual Data Mining and Machine Learning. It allows users to build deep learning model…

Solutions to Wasserman's 'All of Statistics'.