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apache-spark---aggregations

comp8240_groups

This repo is belong to Group S for the Application of Data Science (COMP8240) Major Project.

customer-orders-project

data-analysis-sql

Various projects dedicated to data analysis via the use of SQL

diabetes-prediction-using-knn

Implementation of k-Nearest Neighbor algorithm to predict that whether or not a female of Pima Indian heritage has diabetes or not.

hierarchical-attention-networks

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

koppel11

Reimplementation of the authorship attribution approach described in "Moshe Koppel, Jonathan Schler, and Shlomo Argamon. Authorship attribution in the wild. Language Resources and Evaluation, 45:8394, 2011" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"

machine-learning---hair-colour-prediction-using-convolutional-neural-nets.-

Building a Convolutional Neural Network Classifier to predict the hair colour of a celebrity using 200k images from the very well known (CelebA) dataset.

portfolio---cycling-data-analysis

This Portfolio is about the analysis of CSV data for cycling taken from `STRAVA` which is an online social network site for cycling and other sports and the other data set comes from GoldenCheetah that provides some analytics services over ride data.

portfolio---data-analysis--energy-usage

This Portfolio is about the data analysis on predicting the energy usage of a house based on IoT measurements of temperature and humidity and weather observations. This portfolio is a work on the research paper http://dx.doi.org/10.1016/j.enbuild.2017.01.083 that has been reproduced here in Python.

portfolio---implementing-k-means-clustering-algoirthm

This Portfolio is about the implementation of `K-means clustering algorithm` which is a very popular unsupervised learning algorithm.

project-sample

A basic GitHub repository example for new Call for Code submissions and those that join the Call for Code with The Linux Foundation initiative.

python-data-cleaning

Jupyter Notebooks and datasets for our Python data cleaning tutorial

spark-optimizations-and-performance-tuning

spark_internals-dataframes

transfer-learning---pretrained-network

Building a Convolutional Neural Network from scratch and then applying Transfer Learning to a Pretrained network and later on applying Data Augmentation to the Pretrained Network.