TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

The fastai book, published as Jupyter Notebooks

Practice your pandas skills!

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Toturials coming with the "data science roadmap" picture.

Collection of notebooks about quantitative finance, with interactive python code.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

DeltaPy - Tabular Data Augmentation (by @firmai)

Artificial Intelligence projects, documentation and code.

Use GPT4 and GPT3.5 on inputs of unlimited size. Uses multithreading to process multiple chunks in parallel. Useful for tasks like Named Entity Recognition, information extraction on large books, d…

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Data Processing and Machine learning methods for the Open Skills Project

Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.

This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.

In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays and oil prices.

Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.

Demonstration notebooks for the Terality serverless data processing engine (www.terality.com)

Customer lifetime value analysis in python. Using Beta Geometric Negative Binomial Distribution and Gamma-Gamma methods

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Probability classes in Python