ricardoariasalazar

Blog_Website

Data-Wrangling

Wrangling a dataset that contains transactional retail data from an online electronics store (DigiCO) in Melbourne, Australia.

Databricks-for-Data-Engineering

Discriminative-and-Generative-Models

Accuracy comparison between generative and discriminative models

Electric-Rotor-Temperature-Prediction

Design of a model with appropriate feature engineering, that estimates one target temperature rotor temperature (“pm”) in a causal manner, based on the data set that records the rotor temperatures of a permanent magnet synchronous motor (PMSM) in real-time

EM-for-Document-Clustering

Classifying abstracts of different papers using unsupervised learning algorithms like soft and hard Expectation Maximization.

Flights-Delay

In this project, we use Spark to visualize, manipulate, model and stream historical flight-delays data using Spark RDD, Spark SQL and Kafka

Indigenous-Australian-Population

The aim of this project is to explore three different datasets related to the Indigenous population in Australia, and get some insights about the region, age, and immunisation rates

Recreation-Sites-VIC

This is an interactive map that integrates the location of the top recreation sites around Victoria, Australia with the Air Quality index in each suburb. Allowing people to choose a perfect recreation spot based on the quality of the air

Text-Analysis-and-Topic-Modeling

There are three classes InfoTheory, CompVis and Math. These can occur in any combination, so an article could be all three at once, two, one or none. The job is to build text classifiers that predict each of these three classes individually using the Abstract field.

ricardoariasalazar/Discriminative-and-Generative-Models

Accuracy comparison between generative and discriminative models

ricardoariasalazar/Flights-Delay

In this project, we use Spark to visualize, manipulate, model and stream historical flight-delays data using Spark RDD, Spark SQL and Kafka

ricardoariasalazar/Indigenous-Australian-Population

The aim of this project is to explore three different datasets related to the Indigenous population in Australia, and get some insights about the region, age, and immunisation rates

ricardoariasalazar/Recreation-Sites-VIC

This is an interactive map that integrates the location of the top recreation sites around Victoria, Australia with the Air Quality index in each suburb. Allowing people to choose a perfect recreation spot based on the quality of the air

ricardoariasalazar/Text-Analysis-and-Topic-Modeling

There are three classes InfoTheory, CompVis and Math. These can occur in any combination, so an article could be all three at once, two, one or none. The job is to build text classifiers that predict each of these three classes individually using the Abstract field.

ricardoariasalazar/Blog_Website

ricardoariasalazar/Data-Wrangling

Wrangling a dataset that contains transactional retail data from an online electronics store (DigiCO) in Melbourne, Australia.

ricardoariasalazar/Databricks-for-Data-Engineering

ricardoariasalazar/Electric-Rotor-Temperature-Prediction

Design of a model with appropriate feature engineering, that estimates one target temperature rotor temperature (“pm”) in a causal manner, based on the data set that records the rotor temperatures of a permanent magnet synchronous motor (PMSM) in real-time

ricardoariasalazar/EM-for-Document-Clustering

Classifying abstracts of different papers using unsupervised learning algorithms like soft and hard Expectation Maximization.

ricardoariasalazar/futurestandings

ricardoariasalazar/Housing-Information-Melbourne

Integration of 7 different datasets in various formats about housing information in Victoria, Australia. And study the effect of different normalization/transformation methods

ricardoariasalazar/Inventory-System

The inventory system simulates the stocking level and the revenue of Cantilever Umbrellas in an Australian firm.

ricardoariasalazar/KNN-Regressor

Function which takes training data and their labels, and the size of the neighborhood (K), and then it returns the regressed values for the test data points.

ricardoariasalazar/Multiclass-Perceptron

Using a perceptron to classify three different classes in a dataset.

ricardoariasalazar/Pandemic-Simulation

Simulation of social links and disease transmission between people, over a period of time, and plot graphs to determine whether an outbreak is contained or not

ricardoariasalazar/python-api-example

ricardoariasalazar/Real-Estate-and-Poverty-Medellin-Colombia

Using three different datasets, obtained from three different places we built a dashboard that could be helpful for different people to identify what is the relationship between poverty (measured by the Multidimensional Poverty Index), communes, house pricing.

ricardoariasalazar/Resampling-Methods

Use the different techniques of resampling to quantify the uncertainty of predictions for a KNN regressor

ricardoariasalazar/Residential-Energy-Appliance-Classification

Load monitoring/ load detection is one big breakthrough in tackling the problem of increasing carbon footprint. It helps to provide detailed electricity consumption information in residential households. This project is dedicated to providing a perfect estimate of the usage of the most common appliances in residential buildings.

ricardoariasalazar/ricardoariasalazar

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ricardoariasalazar/Text-Preprocessing

Extraction of data from semi-structured text files, and preprocess the text into numerical representations.

ricardoariasalazar/Trees-Fitzroy-Garden

Dashboard using the data of the trees located in Fitzroy Garden in Melbourne, Australia

ricardoariasalazar/Tweets-Parsing

Extract data from semi-structured text files and transform the data into XML format.