Stars
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
A repo for data science related questions and answers
My solution to the book A Collection of Data Science Take-Home Challenges
A compiled list of kaggle competitions and their winning solutions for classification problems.
📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
Python code for common Machine Learning Algorithms
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Python Driver for Apache Cassandra®
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
A Python scikit for building and analyzing recommender systems
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 ;)
Apache Spark (PySpark) Practice on Real Data
Apache Spark - A unified analytics engine for large-scale data processing
Run MapReduce jobs on Hadoop or Amazon Web Services
Ways of doing Data Science Engineering and Machine Learning in R and Python
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Deep learning library featuring a higher-level API for TensorFlow.
sherrym / tf-tutorial
Forked from wolffg/tf-tutorialShort tutorial for TensorFlow, designed to be presented in-person
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
scikit-learn: machine learning in Python
An Open Source Machine Learning Framework for Everyone