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120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

anomaly-detection-algortithm

anomalydetectiontoolbox

A collection of algorithms for anomaly detection

citolytics

Citation Analysis for Wikipedia with Apache Flink

clinton-email-cruncher

Download Hillary Clinton's emails and query them with sqlite

databricks

dec-keras

Deep Embedding Clustering in Keras

ebed

Anomaly detection in time series of graph data

ethereum_blockchain_parser

Parse the Ethereum blockchain from a local geth node!

hdbscan

A high performance implementation of HDBSCAN clustering.

hubminer

Hubness-aware machine learning library.

learning-dl

Learning Deep Learning

lintcode

LintCode C++/Python Solution

logtools

Command-line utilities for working with log files - filtering, sampling, IP-based geolocation, summary statistics etc.

lstm-anomaly-detect

Example code for neural-network-based anomaly detection of time-series data (uses LSTM)

multimodal_keras_wrapper

Wrapper for Keras with support to easy data loading and handling and the creation of staged networks.

outlier

implement some outlier detection algorithms

outlier-detect

Code that implements the novel outlier detection algorithms from my Ph.D. dissertation.

outlierdetection

Ensemble method for outlier detection

phenograph

Subpopulation detection in high-dimensional single-cell data

pylof

Python implementation of Local Outlier Factor algorithm.

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

rapidminer-anomalydetection

RapidMiner Extension for Anomaly Detection

semirpclus

SemiRPClus is a Semi-supervised Clustering Method on Heterogeneous Information Network

seq2seq

Sequence to Sequence Learning with Keras

siamese_networks_face_recognition

Face Recognition Using Siamese Neural Networks based on paper Koch et al., "Siamese Neural Networks for One-shot Image Recognition"

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

subgraph-outlier-detection

Python implementation of "Local Learning for Mining Outlier Subgraphs from Network Datasets" by Gupta et al.

symnmf

tf-mrnn

Re-implementation of the m-RNN model using TensorFLow