kalona,github

amazing-feature-engineering

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.

bigquery-ml-utils

bigquery-notebooks

data-science-projects-with-python

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

deep-learning-with-python-notebooks

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

deep_learning_for_structured_data

Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data

first-steps-with-python-training

repository of the 3-day course "First steps with Python in Life Sciences" from SIB-training

fraudfinder

Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud

hands-on-data-analysis-with-pandas-2nd-edition

Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

learn-python-by-building-data-science-applications

Learn Python by Building Data Science Applications, published by Packt

machine-learning-for-tabular-data

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

Machine Learning with BigQuery ML, published by Packt

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

ml_on_tabular_data

Code for the new Manning book on machine learning on tabular datasets

oci-data-science-ai-samples

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.