Extra blocks for scikit-learn pipelines.

Text and code for the second edition of Think Bayes, by Allen Downey.

Always know what to expect from your data.

Real-world benchmarks for urban delivery problems, including vehicle routing and facility location problems.

A containerized Python framework for a better Data X development workflow. Where X = Science, Engineering, Analytics, etc.

Improving XGBoost survival analysis with embeddings and debiased estimators

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

A tool for building feature stores.

A game theoretic approach to explain the output of any machine learning model.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (…

[NOT MAINTAINED] Predicting Bit coin price using Time series analysis and sentiment analysis of tweets on bitcoin

A Python implementation of global optimization with gaussian processes.

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Advers…

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

VIP cheatsheets for Stanford's CS 230 Deep Learning

A Python toolbox for performing gradient-free optimization

TensorFlow Tutorials with YouTube Videos

Content for Udacity's Machine Learning curriculum

Tensorflow chatbot demo by @Sirajology on Youtube