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angela1C/README.md

Hi there 👋

🔭 I am a student in GMIT- completing the Higher Diploma in Computing and Data Analytics programme. Some of the projects for the course are contained in the following repositories.

  • Machine-Learning-and-Statistics-Project-2020 A Flask web app that uses machine learning models to make predictions for the power output from wind turbines based on their wind speed values.

  • Machine-Learning-and-Statistics-Tasks-Project-2020 Four tasks to be completed in a single Jupyter notebook.

  • Data-Representation-Project-2020 A Flask web app with REST API. CRUD operations on a MySQL database. The application links to the Irish open data portal at https://data.gov.ie using the CKAN APIs.

  • Multi-Paradigm-Programming-Shop-Project-2020 The project consisted of writing code for a shop in both a Procedural style and an Object Oriented manner using C, Python and Java as well as a report comparing the solutions achieved using the procedural approach and the object oriented approach.

  • Computational-Thinking-With-Algorithms-Project-2020 Benchmarking sorting algorithms in Python. Reviewing various comparison and non-comparison sorting algorithms, describing how each algorithm works and considering concepts such as their time and space complexities, performance and stability.

  • Applied-Databases-Project-2020 CRUD operations on a relational database (MySQL) and a non-relational database (MongoDB) with a user interface to the databases using Python. A discussion on normalisation.

  • Web-Applications-Development-Project-2019 A simple website using HTML5, CSS, JavaScript and the JavaScript library D3 for some basic data visualisations. Linked pages and user login.

  • Programming-for-Data-Analysis-Simulation-Project-2019 Simulating a dataset using Python's numpy.random module. I chose to simulate the World Happiness Score, in particular the main determinants of happiness at country levels across the world as reported in the World Happiness Report.

  • Programming-for-Data-Analysis-Random-Numbers-Project-2019 Explaining the overall use of Python’s numpy.random packageand in particular the use of its simple random data functions, permutations functions and distributions functions as well as the use of seeds in generating pseudorandom numbers.

  • Fundamentals-of-Data-Analysis-Project-2019 Exploratory data analysis and regression analysis of the Tips dataset using the Python data science stack.

  • Programming-and-Scripting-Project-2019 Researching Fisher's Iris dataset and exploratory data analysis of the dataset using the Python data science stack.

  • Programming-and-Scripting-Problem-Set-2019 A set of ten programming problems aimed at learning core Python skills including input and output from the command line, handling exceptions, dates and times, writing functions and control flow in Python, string methods, reading and writing files and basic plotting using Matplotlib.

Pinned

  1. Machine-Learning-and-Statistics-Project-2020 Machine-Learning-and-Statistics-Project-2020 Public

    Repository for the second project for the Machine Learning and Statistics module at GMIT 2020: A web service that uses machine learning to make predictions for the power output from wind turbines b…

    Jupyter Notebook

  2. Machine-Learning-and-Statistics-Tasks-Project-2020 Machine-Learning-and-Statistics-Tasks-Project-2020 Public

    Repository for the first project for the Machine Learning and Statistics module at GMIT 2020: Various tasks using Python and the Python data analysis libraries.

    Jupyter Notebook

  3. Data-Representation-Project-2020 Data-Representation-Project-2020 Public

    Repository for the final project for the Data Representation and Querying module at GMIT 2020: A Flask server program with REST API, CRUD operations on MySQL database. Links to the Irish Open data …

    HTML 1

  4. Fundamentals-of-Data-Analysis-Project-2019 Fundamentals-of-Data-Analysis-Project-2019 Public

    Repository for the final project for the Fundamentals of Data Analysis module at GMIT 2019: Exploratory data analysis and regression of the Tips dataset using Python

    Jupyter Notebook

  5. Programming-and-Scripting-Project-2019 Programming-and-Scripting-Project-2019 Public

    Repository for the second project for the Programming and Scripting module at GMIT 2019: Researching the Iris dataset and data analysis using Python

    Python

  6. Programming-for-Data-Analysis-Simulation-Project-2019 Programming-for-Data-Analysis-Simulation-Project-2019 Public

    Repository for the second project for the Programming for Data Analysis module at GMIT 2019: Simulating a dataset using Python's numpy.random module.

    Jupyter Notebook