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2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2015

Public material for CS109

2015lab1

2015lab10

2015lab11

Overview of a project: Food Inspection Forecasting

2015lab2

2015lab3

2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

2015lab5

Lab 5, the first on Machine Learning!

2015lab6

2015lab7

Decison Trees, Random Forrests, Ensemble Methods

2015lab8

AWS, Vagrant, and Spark

2015lab9

algorithmsstanford

aloja

ALOJA Big Data Benchmarking platform: includes tools to define and deploy clusters, orchestrate benchmarking, collect and manage results, and analyze them in Web app including Predictive Analytic tools

antelope

Antelope Realtime Events framework for feature engineering in agile machine learning environments.

applied-machine-learning

applieddatasciencecapstone

awesome-mlops

A curated list of references for MLOps

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going).

big-data-engineering-coursera-yandex

Big Data for Data Engineers Coursera Specialization from Yandex

bnp_tutorial

bpl

Bayesian Program Learning model for one-shot learning

bptf

Bayesian Poisson tensor factorization

c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

chatbotcourse

自己动手做聊天机器人教程

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

clustype

Automatic Entity Recognition and Typing for Massive, Domain-Specific Corpora

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.