Mary Madhongo's repositories
Regulatory-Compliance-in-Finance-Using-R-Programming
Developing a data analysis project for regulatory compliance in finance using R programming. Analyzes SEC financial statements to ensure compliance, identify anomalies, and address non-compliance areas.
Using-Reinforcement-Learning-to-Detect-Anomalies-in-Time-Series-Data
Using reinforcement learning to detect anomalies in time-series data with improved accuracy and efficiency. Includes data preparation, LSTM-based feature extraction, model training with PPO, and evaluation with precision and recall metrics.
Multi-Class-Image-Classification
This project trains and evaluates deep learning models on the CIFAR-10 dataset using TensorFlow and Keras. It includes data preparation and training with optimizers and callbacks, and evaluation using accuracy and AUC metrics. The goal is to achieve high performance in image classification tasks.
Construction-Output-UK-dataset
This project uses Python, pandas, and Plotly to analyze and visualize UK construction trends from September to November 2023. It includes data collection, preprocessing, analysis, and an interactive dashboard for clear insights, ensuring reliability through Agile methodology and robust testing.
Wisconsin-Cancer-Data-Analysis
This project involves conducting a comprehensive data analysis on the Wisconsin Cancer Dataset using RStudio. The process includes data loading, pre-processing, training machine learning algorithms, and result visualization.
Library-Record-System-Python
This project involves the design and implementation of a library record system using Python. The system follows an object-oriented programming approach and includes classes for Books, BookList, Users, UserList, and Loans. Each class is equipped with methods for data manipulation and error checking.
MME-PostgreSQL-Application
The MME-PostgreSQL-Application project is a PostgreSQL-based database system for Millie’s Musical Emporium (MME) Ltd. It transitions MME from a paper-based system to a computerized one, managing customers and stock. The system includes features like new customer registration, product purchasing, and stock management.