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catch-pink-flamingo-game icon catch-pink-flamingo-game

Explore and process the data set intended to simulate big data generated from a large number of users who are playing out imaginary game, Catch the Pink Flamingo, a product of Eglence Inc. Analyze the data from a business focus and finally generate model and report to suggest Eglence Inc. how to improve revenue from this game.

energy-consumption icon energy-consumption

Understand the patterns of energy consumption of a house to predict future trends. and analyse the market to see if the technology may prove itself commercial appealing

energy_consumption icon energy_consumption

Applying time series to predict Smart Home energy consumption and demonstrating how data can enable households to save energy (IoT Analytics)

latex-starting-template icon latex-starting-template

Thesis starter template, primarily aimed at undergrad students who want to get started with LaTex documents but don't have enough time to work out the file settings on their own.

modern-optimization-with-r icon modern-optimization-with-r

code from the s/t book which goal is to gather in a single document the most relevant concepts related to modern optimization methods or metaheuristics (e.g. simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization), showing how such concepts and methods can be addressed using the open source R t

portfoliooptimization icon portfoliooptimization

This assignment involves optimising a portfolio by calculating the risk and the return values from a selected list of assets and determining the best way to invest in those assets by taking into consideration the risk and the return values of the assets in the portfolio. This has been done by implementing a multi-objective genetic algorithm using R

predicting-sales icon predicting-sales

Assignment at Ubiqum Code Academy Barcelona, to predict sales of several products from an electronic store

pypda icon pypda

Python data repo, jupyter notebook, python scripts and data.

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