LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base.

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…

How to build the best search, one step at a time!

A step-by-step tutorial on developing a practical recommendation system (retrieval and ranking) using TensorFlow Recommenders and Keras.

🧮 A collection of resources to learn mathematics for machine learning

This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So f…

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…

Python Class created to address problems regarding Digital Marketing Attribution.

A machine learning project to fit consumer's web-browsing and advertising impression data to a top-secret Hidden Markov Model

A PoC for a fractional attribution model leveraging first order Markov Chains.

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

The codes of Neural News Recommendation with Attentive Multi-view Learning

Your new Mentor for Data Science E-Learning.

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 ;)

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

Repository for code used in Kaggle competitions.

Kaggle Seizure Prediction Competition