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Lists (31)
A/B Experiments
12 repositories
Anomaly detection
4 repositories
AutoML
3 repositories
Bayesian
4 repositories
Causal
27 repositories
Credit
5 repositories
Data transformation
12 repositories
Database
1 repository
dbt
8 repositories
EDA
5 repositories
Educational
51 repositories
Explainability
5 repositories
Finance
1 repository
Governance
3 repositories
Interview prep
3 repositories
LLM
6 repositories
LTV
1 repository
ML training
Inverted class course content on data analysis and ML with python7 repositories
Mmm
2 repositories
NLP
2 repositories
Org structure
18 repositories
Prompting
6 repositories
Recommendation
2 repositories
Survey
4 repositories
Survival
4 repositories
Tabular learning
18 repositories
Text Clustering
1 repository
Time series
19 repositories
Unsupervised
4 repositories
Uplift modeling
1 repository
Visualization
19 repositories
Starred repositories
97
stars
written in Jupyter Notebook
Clear filter
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Python Data Science Handbook: full text in Jupyter Notebooks
12 Weeks, 24 Lessons, AI for All!
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
10 Weeks, 20 Lessons, Data Science for All!
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.
Course Files for Complete Python 3 Bootcamp Course on Udemy
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 ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
The fastai book, published as Jupyter Notebooks
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Practice your pandas skills!
Learn ML engineering for free in 4 months!
This repository contains demos I made with the Transformers library by HuggingFace.
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
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.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Overview and tutorial of the LangChain Library
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Plain python implementations of basic machine learning algorithms
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…
A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep
Jupyter notebooks from the scikit-learn video series
