PhDEng-Mackenson

Pinned Repositories

• QML-for-Conspicuity-Detection-in-Production

  Womanium Quantum+AI 2024 Projects

  Language:Jupyter Notebook20

• classiq-library

  The Classiq Library is the largest collection of quantum algorithms, applications. It is the best way to explore quantum computing software. We welcome community contributions to our Library 🙌

  Language:Jupyter Notebook10

• Deep-Convolutional-Neural-Networks-For-Images-Classification

  In this project, we utilized Deep Convolutional Neural Networks to accurately classify images of dogs and cats. Following training, the model effectively distinguishes between the two animals in a given image.

  Language:Jupyter Notebook10

• Diabetes-Prediction-Using-Machine-Learning-Algorithms.

  In this project, we utilized a variety of Machine Learning Algorithms, including Random Forest, Decision Tree, SVM, and k-Nearest Neighbor, to predict diabetes in patients. We specifically utilized the Pima Indians Diabetes Database for this analysis. Additionally, we employed XBOOST to compare the accuracy of each algorithm.

  Language:Jupyter Notebook10

• Logistic-Regression-For-Rainy-Day-Prediction.

  In this project, we employed Logistic Regression Algorithms to forecast rain in Australia. Our analysis focused on the Rains in Australia Dataset for accurate predictions.

  Language:Jupyter Notebook10

• Model-Selection-Techniques-For-Regression-Problems.

  Language:Jupyter Notebook10

• Neural-Network-For-Predicting-Stock-Prices

  In this project, we created a neural network to predict the price of a stock. We used TSLA.csv data set.

  Language:Jupyter Notebook10

• Neural-Networks-For-Time-series-Forecasting

  In this project, we utilized neural networks, specifically LSTM models, to tackle a variety of time series problems, including multivariate forecasting for Multiple Parallel Series.

  Language:Jupyter Notebook10

• PhDEng-Mackenson

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• Transaction-Analysis-Clustering

  This project aims to analyze transaction patterns and detect anomalies using clustering techniques. The dataset includes transaction data from 2013 to 2024, and various clustering algorithms were applied to discover hidden patterns and outliers.

  Language:Jupyter Notebook10

PhDEng-Mackenson's Repositories