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My Projects

Welcome to my GitHub repository! Below you'll find a categorized list of projects I've worked on. Feel free to explore them.

Machine Learning (ML)

NLP - Food Reviews - Bayes, KNN, CNN, FFN, RNN

  • Description: Natural Language Processing (NLP) project analyzing food reviews using various machine learning models.
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Multi-Label Image Classification Convolutional neural network and data augmentation (Fruit Image Classification)

  • Description: An extension of the previous Image Classification model to use a convolutional neural network to predict images of fruits into 10 different categories.
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Binary Computer Vision Cats and Dog Classification convolutional neural network with data augmentation

  • Description: CNN to classify if an image is a dog or a cat.
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Multi-Label Image Classification Neural Network (Fruit Image Classification)

  • Description: Deep Neural Network to reshape, convert to array, classify and predict images of fruits into 10 different categories.
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Neural Network Gender Binary Classification

  • Description: Gender identification through a form filled in by university students to identify if they are male or female.
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Data Engineer Salary Predictor - Neural Network Regression Models

  • Description: Testing numerous neural network models to find a regression model with the lowest mean absolute error, then make allow a user to predict their wage.
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Web Scraping and Data Analysis

Webscraping and Bayesian Network for Finance Dataset

  • Description: Project involving webscraping of a lecturers publications, and Bayesian network analysis for a finance dataset.
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Algorithms and Data Structures

Binary Search

  • Description: Implementation of the binary search algorithm.
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Prime Number Checker

  • Description: Program to check if a number is prime.
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Numerical Analysis

Python vs NumPy

  • Description: Comparison between Python and NumPy computational complexity for numerical operations.
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Security and Utilities

Password Generator

  • Description: Tool for generating random passwords at different levels.
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