AlistairLR112
Data Scientist interested in Genetic Algorithms and Network Analysis applied to Geopolitical Problems.
Bristol
Pinned Repositories
airflow-examples
bigdata-2018f
CS 451/651 Data-Intensive Distribute Computing (Fall 2018) at the University of Waterloo
CaretDocker
Dockerising a Jug App containing a Caret Model (XGBOOST)
carinsurance_pricing
This repository illustrates some work in using GLMs to price car insurance based on car insurance policy and claim data. It also features some systematic data exploration and the use of MonteCarlo simulation to investigate the effectiveness of the pricing policies we are using.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DataScienceWorkflow
Description of the Data Science Process
EnglandCrimeAssociations
Finding Association Rules between Location, Crime Type and Crime Outcome of Crime in England
Sklearn_Docker
Dockerising a Sckit-Learn Model that accepts a pandas dataframe
Supervised-Link-Prediction-ACLED
Supervised Link Prediction in graphs/networks with African Conflict Data
WiltshireCrimeAssociations
Finding Associations Between Location, Crime Type and Crime Outcome in Swindon and Wiltshire
AlistairLR112's Repositories
AlistairLR112/EnglandCrimeAssociations
Finding Association Rules between Location, Crime Type and Crime Outcome of Crime in England
AlistairLR112/WiltshireCrimeAssociations
Finding Associations Between Location, Crime Type and Crime Outcome in Swindon and Wiltshire
AlistairLR112/DataScienceWorkflow
Description of the Data Science Process
AlistairLR112/airflow-examples
AlistairLR112/bigdata-2018f
CS 451/651 Data-Intensive Distribute Computing (Fall 2018) at the University of Waterloo
AlistairLR112/CaretDocker
Dockerising a Jug App containing a Caret Model (XGBOOST)
AlistairLR112/carinsurance_pricing
This repository illustrates some work in using GLMs to price car insurance based on car insurance policy and claim data. It also features some systematic data exploration and the use of MonteCarlo simulation to investigate the effectiveness of the pricing policies we are using.
AlistairLR112/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
AlistairLR112/haystack-core-integrations
Additional packages (components, document stores and the likes) to extend the capabilities of Haystack version 2.0 and onwards
AlistairLR112/Sklearn_Docker
Dockerising a Sckit-Learn Model that accepts a pandas dataframe
AlistairLR112/Supervised-Link-Prediction-ACLED
Supervised Link Prediction in graphs/networks with African Conflict Data
AlistairLR112/docker-spark-cluster
A simple spark standalone cluster for your testing environment purposses
AlistairLR112/edge2vec
Learning node representation using edge semantics
AlistairLR112/haystack-integrations
🚀 A list of Haystack Integrations, maintained by the community or deepset.
AlistairLR112/MachineLearningFromModelToProduction
This repo holds all the content for the Machine Learning training day
AlistairLR112/Microsoft-TDSP
Repository for Microsoft Team Data Science Process containing documents and scripts
AlistairLR112/proj001_lfb
Example training project for Guerrilla Analytics ways of working