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airbnb-data-insight-for-perth-

Airbnb data insight for Perth metropolitan area

alphabet-soup-charity-deep-learning

Using the features in the provided dataset, creating a binary classifier that can predict whether applicants will be successful if funded by Alphabet Soup.

analysis-using-python

Analysis using python

belly-button-biodiversity-analysis

Building an interactive dashboard to explore the Belly Button Biodiversity dataset, which catalogues the microbes that colonise human navels.

big-data-etl

To perform the ETL process completely in the cloud and upload a DataFrame to an RDS instance. Use PySpark or SQL to perform a statistical analysis of selected data.

climate-analysis-using-sql-alchemy

This project is about the climate analysis and data analysis of a specific area during a specific duration.

clinical-data-study-using-matplotlib

In this project, graphs and plots of the clinincal study which are necessary for the top-level summary of the study results have been generated.

credit-risk-evaluator-supervised-machine-learning

Credit risk evaluator using supervised machine learning models such as linear regression, random forest classifier.

determination-of-ideal-vacation-spot-using-python-apis

In this project python requests, APIs and JSON traversals have been done to determine the possible locations for vacations around the world. Graphs have been plotted to determine the parameter variations in nothern and southern hemisphere. Ideal location and nearest hotels have been determined based on the selected parameter range.

fifa-world-cup-analysis

In this project we look into the history of FIFA World cup to gather and store the data to study and perform various types of data visualisation. Visualisation screens are developed along with responsive visualisation.

mars-weather-data-scraping-and-analysis

Scrape titles and preview text from Mars news articles. Scrape and analyse Mars weather data, which exists in a table.

predicting-house-prices

It is everyones dream to buy a home. For someone who is thinking of buying a new house, this model aims to predict the house prices in the suburb of Perth. This data is analysed based on the available historical data of house prices in Perth.

project-2

This Project aims to create a relational databse using postgres to store data that would be utilised to analyse households in WA suburbs.

sql-database

In this project, tables are designed to hold the data from the CSV files, import the CSV files into a SQL database. Data modelling, data engineering and data analysis are performed.

stock-market-analysis-using-vba

Stock market analysis to determine the stock volume, ticker, yearly change, %percentage change along with the stock with greatest % increase, greatest % decrease and greatest total volume.

temple

trends-in-school-performance-using-pandas

To make strategic decisions regarding future school budgets and priorities.

unsupervised-machine-learning

Clustering algorithms to explore whether the patients can be placed into distinct groups. Then, you’ll create a visualisation to share your findings with your team and other key stakeholders.

usgs-earthquake-data-using-leaflet

In this project, a visualisation is created after extracting the data from USGS GeoJSON. The earthquake data is plotted for the last 7 days (or the chosen number of days) with diameter of each circle representing the magnitude of the earthquake. Additionally, tectonic plates are plotted with the user interactive interface to choose the map type.