scottclay

alexa_skills

BayesianAstronomy

Bayesian Methods in Astronomy workshop, presented at AAS227

BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

Cleaning-Titanic-Data

One of the most popular starter data sets in data science, the Titanic data set. This is a data set that records various attributes of passengers on the Titanic, including who survived and who didn’t. Here I have detected some missing value, replace the missing values and also create new values added to the dataset. There are two csv files, first one is titanic_original.csv and second one is tatanic_clean.csv. Second csv is generated from the R code, called 'titanic.r' here. Have fun.

MLLytics

A library of tools for easier evaluation of ML models.

SparkLytics

A library of useful functions to help with ML analysis with PySpark and MLLib.

scottclay/alexa_skills

scottclay/BayesianAstronomy

Bayesian Methods in Astronomy workshop, presented at AAS227

scottclay/BayesMadeSimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

scottclay/Cleaning-Titanic-Data

One of the most popular starter data sets in data science, the Titanic data set. This is a data set that records various attributes of passengers on the Titanic, including who survived and who didn’t. Here I have detected some missing value, replace the missing values and also create new values added to the dataset. There are two csv files, first one is titanic_original.csv and second one is tatanic_clean.csv. Second csv is generated from the R code, called 'titanic.r' here. Have fun.

scottclay/Lgalaxies_Analysis

Data analysis pipeline for running the detailed dust model of the L-Galaxies semi-analytic model

scottclay/Lgalaxies_Dust

Implementation of detailed dust modelling into the Henriques 2015 version of L-Galaxies

scottclay/MLLytics

A library of tools for easier evaluation of ML models.

scottclay/SparkLytics

A library of useful functions to help with ML analysis with PySpark and MLLib.

scottclay/Crash_Detection

scottclay/Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

scottclay/dataworks-githooks

Repo for holding DataWorks Git hooks

scottclay/graphistry-notebooks

Custom Jupyter notebooks to integrate different data sources with the Graphistry API

scottclay/Lgalaxies_HDF5

scottclay/Machine-Learning-Malware-Detection

Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.

scottclay/malware-prediction-rnn

RNN implementation with Keras for machine activity data to predict malware

scottclay/malware_api_class

Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

scottclay/malwaredatascience

scottclay/misc_code

scottclay/python-docs-hello-world

A simple python application for docs

scottclay/retail_sales

scottclay/sans-indexes

Indexes for SANS Courses and GIAC Certifications

scottclay/Statistics

scottclay/terraform-terragrunt-terratest-example

Examples of using Terraform with Terragrunt and Terratest

scottclay/tf_gpu_docker

scottclay/virus-mnist

scottclay/Web_Crawler

scottclay/widgets-tutorial

A tutorial for widgets