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dndln's Projects

2014 icon 2014

Official content for the Fall 2014 Harvard CS109 Data Science course

2014_data icon 2014_data

Data directory for the CS109 Data Science course

2015 icon 2015

Public material for CS109

2015lab4 icon 2015lab4

Lab for Linear and Logistic Regression, SciKit Learn

computer-science icon computer-science

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

core icon core

:house_with_garden: Open source home automation that puts local control and privacy first.

data-science icon data-science

:bar_chart: Path to a free self-taught education in Data Science!

docker-notebooks icon docker-notebooks

Provides Minerva Collective analysts a consistent environment when working on projects

dse220_machine_learning icon 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.

dse230_data_analysis_using_hadoop_and_spark_ucsd icon dse230_data_analysis_using_hadoop_and_spark_ucsd

Map-reduce, streaming analysis, and external memory algorithms and their implementation using the Hadoop and its eco-system: HBase, Hive, Pig and Spark. The class will include assignment of analyzing large existing databases.

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