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Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Python Data Science Handbook: full text in Jupyter Notebooks
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 ;)
This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), ar…
Data and code behind the articles and graphics at FiveThirtyEight
A crash course in six episodes for software developers who want to become machine learning practitioners.
Home for Elasticsearch examples available to everyone. It's a great way to get started.
This repos contains notebooks for the Advanced Solutions Lab: ML Immersion
Up-to-date version of labs for ISLP
United States General Election Presidential Results by District, Ward, or County from 2008 to 2024
Code for a tutorial on Bayesian Statistics by Allen Downey.
Introduction to Python for Data Science for PyCon 2018
A repository for public Machine Learning notebooks I have created
360 view on ai/ml/dl applications
📜 Understanding Probabilistic Topic Models with Simulation in Python
The easiest way to build a choropleth map in Python using Plotly
Jupyter Notebook tutorial demonstrating how to map OpenElections Data
Analytics Vidhya Competition Question
This a tutorial that shows various ways by which you can select rows and columns in Pandas
MS Data Science 2017, using Torch before PyTorch: "Generating domain-specific language using an LTSM RNN to infer relative linguistic complexity between astrophysics subdisciplines"
Analysis of key socio-economic factors that determined the 2016 U.S. Elections
A comprehensive collection of Jupyter Labs notebooks from scikit-learn documentation