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2015-python

(Winter 2015) Python for Data Mining mini-course.

agent-basketball

Agent-based basketball simulator

algorithms

:computer: Data Structures and Algorithms in Python

algorithms-1

An educational library of algorithms in Python

astroml

Machine learning, statistics, and data mining for astronomy and astrophysics

awesome

A curated list of awesome lists

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-courses

List of awesome university courses for learning Computer Science!

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-python

Machine and Deep Learning in Python

awesome-public-datasets

A awesome list of (large-scale) public datasets on the Internet. (On-going collection)

awesomeport

berkeleyx-cs100.1x-big-data-with-apache-spark

This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX

berkeleyx-cs190.1x-scalable-machine-learning

This repository contains code files specifically IPython notebooks for the assignments in the course "Scalable Machine Learning" by UC Berkeley and Databricks on edX

code_py

A collection of well-commented code snippets for data science

dat3

General Assembly's Data Science course in Washington, DC

dat4

General Assembly's Data Science course in Washington, DC

dat7

General Assembly's Data Science course in Washington, DC

dat8

General Assembly's Data Science course in Washington, DC

data

Data and code behind the stories and interactives at FiveThirtyEight

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

datascienceresources

Open Source Data Science Resources.

datascientist_tutorial

deeplearning

Deep Learning (Python, C, C++, Java, Scala, Go)

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

dse220_machine_learning

Repo for my graduate data science machine learning class at UCSD (UC San Diego). This course provides a broad introduction to the practical side of machine-learning and data analysis. The topics covered in this class include topics in supervised learning, such as k-nearest neighbor classifiers, decision trees, boosting and perceptrons, and topics in unsupervised learning, such as k-means, PCA and Gaussian mixture models.

edx-cs169.1x-hw1

BerkeleyX's Software Engineering for Software as a Service

edx-cs188.1x

My project solutions for BerkeleyX: CS188.1x Artificial Intelligence class