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Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Supercharge BigQuery with BigFunctions
A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data
repository of the 3-day course "First steps with Python in Life Sciences" from SIB-training
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud
Materials for following along with Hands-On Data Analysis with Pandas – Second Edition
Notebooks and code for the book "Introduction to Machine Learning with Python"
Learn Python by Building Data Science Applications, published by Packt
Repository of course materials for a multi-day course on machine learning for tabular data using Scikit-Learn and XGBoost
Machine Learning with BigQuery ML, published by Packt
Introduction to Machine learning with Python, 4h interactive workshop
Code for the new Manning book on machine learning on tabular datasets
This repo contains a series of tutorials and code examples highlighting different features of the OCI Data Science and AI services, along with a release vehicle for experimental programs.
Complete source code (datasets and Jupyter Notebooks) for Pandas In Action
Common solutions and tools developed by Google Cloud's Professional Services team. This repository and its contents are not an officially supported Google product.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
This is a repository for the LinkedIn Learning course Python Statistics Essential Training
Python Data Science Handbook: full text in Jupyter Notebooks
scikit-learn Cookbook Second Edition, published by Packt
Machine learning in Python with scikit-learn MOOC
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.