My repository for liveProject: Using scikit-learn

A minimal Jekyll Theme to host your resume (CV) on GitHub with few clicks.

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

GPTeam: An open-source multi-agent simulation

Specify what you want it to build, the AI asks for clarification, and then builds it.

An experimental open-source attempt to make GPT-4 fully autonomous.

Extra blocks for scikit-learn pipelines.

Doubt your data, find bad labels.

Open-source Python library for statistical analysis of randomised control trials (A/B tests)

Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications

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.

Deep Learning Specialization by Andrew Ng on Coursera.

Machine learning cheatsheet

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

Deep Learning Specialization by Andrew Ng, deeplearning.ai.

Machine learning-Stanford University

TensorFlow tutorials and best practices.

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

A model for undertanding the specific proficiencies involved in creating a good 2+star agile team. Initial draft presented at Agile 2013.

Solutions of coursera's Machine learning course by Andrew ng