Mphikeleli Mbongiseni Mathonsi's Projects
An ASP.NET Core Web App which lets sign-in users (including in your org, many orgs, orgs + personal accounts, sovereign clouds) and call Web APIs (including Microsoft Graph)
Asp.Net Core MVC & Identity - Complete User Authentication System
ATM Application in C#. ATMs are simple and easy to use banking terminals that we use in our daily lives. Practicing coding real life things such as this can improve your skills quickly and make it easier to tackle other projects.
Key features: 📌 Admin Panel - Add, Update Movies - Add, Update, Delete Actors - Add, Update, Delete Cinemas - Add, Update, Delete Producers - View all users in the system - View all orders in the system 📌 User Panel - Search for a Movie - View movie details - Add a movie to a Cart - Buy movies with Paypal - Update profile - View your orders
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
Collection of data science projects in Python
Toturials coming with the "data science roadmap" picture.
This is a PHP entitled Vehicle Insurance Management System. It is a web-based application that was developed in PHP and MySQL Database which helps to ease the daily transaction of a Vehicle Insurance Businesses.
Identity management system for ASP.NET Core Identity.
This repository contains the source code and files for my personal website, which is hosted on GitHub Pages. It showcases my portfolio, projects, and other information about me. Feel free to explore the code and content to learn more about my work.
#Data Analytics Practice Repository. This repository contains a collection of Power BI reports and datasets that I have created for the purpose of gaining experience in data analytics. These reports and datasets are designed to showcase my skills and understanding of data visualization, analysis, and interpretation using Power BI.
Abstract Predicting the stock price in the financial market has not been an easy task to do, due to the fact that financial time series are naturally non-stationary and chaotic. To predict the accurate stock price values is very hard because of its nature of being volatile and chaotic. The introduction of machine learning and computational capabilities have proved to be efficient in predicting the stock price. The goal of using machine learning algorithms is to read the given market data, design an intelligent model fitting to the non-linear models from the data set and predict the future tendencies of the stock price movement. In this research project only two machine learning algorithms are used namely: the K-nearest neighbour and the Random forest and they are evaluated using the accuracy score. The are used to predict the stock price of the listed companies which are Apple,Ford, Mastercard and Exxonemobile. The results demostrated that the K-nearest neighbour outcompeted the Random forest with a slight difference between them.
This is just my code practice
Write log events to System.Console as text or JSON, with ANSI theme support
A Serilog sink that writes events to Microsoft SQL Server and Azure SQL
SSH.NET is a Secure Shell (SSH) library for .NET, optimized for parallelism.
This is my Bootcamp I got from Udemy Instructor Dr. Angela Yu Developer and Lead Instructor. Link: https://hollard.udemy.com/home/my-courses/learning/#:~:text=Udemy%20Business-,The%20Complete%202023%20Web%20Development%20Bootcamp,-Become%20a%20Full
VLC media player - All pull requests are ignored, please follow https://wiki.videolan.org/Sending_Patches_VLC/