Leighché Jaikarran (noturlee)

noturlee

Geek Repo

Company:HeroMed

Location:Durban

Home Page:https://leighche.co.za

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Leighché Jaikarran's repositories

Task-Tracking-Web-App

TaskTracker is a MVC ASP.NET Core Web application which allows students to monitor and take control of their studies, and create a way to manage it using CRUD

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Library-Console-App

A library application for CRUD, showing iterative development from basic console application, to advance console application to windows presentation foundation application ready for publication

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AgriEnergy-Connect

A forward-thinking initiative bridging agriculture and green energy in South Africa. As an MVC platform, it fosters sustainable practices and integrates renewable energy solutions. It serves as a vital link between farmers and technology providers, driving innovation for a greener future.

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IMDb-DataAnalysis

A data model that predicts the IMDb rating of a movie based on features like genre, director, and actors. Using regression techniques to tackle this problem.

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MVC-Tutorial

This Github repo is designed to explain MVC Framework and how it integrates to the local database on your local machine, covering topics like Scaffolding and Methods

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Titanic-DataModel

This project demonstrates the process of data preprocessing, model training, evaluation, and tuning in building a predictive model for a classic dataset. The Random Forest model, with its ability to handle complex relationships and interactions between features, proved to be the most effective in this case.

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AutoGrow-Website

AutoGrow is a hydroponics team that came together as part of their Work Integrated Learning, which is a module for the institution known as Varsity College. The team consists of six members and is lead by Leighché Jaikarran

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Azure-CarRental-App

cldv6211---poe-Leighche created by GitHub Classroom

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Iris-DataAnalyis

This project aims to classify Iris flowers into three species—setosa, versicolor, and virginica—based on their sepal and petal measurements using machine learning techniques. The dataset comprises 150 samples evenly distributed among these species

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Sales-DataAnalysis

This project aims to predict product sales based on advertising expenditures, focusing on 'TV advertising'. Machine learning techniques are employed to analyze and interpret data, enabling businesses to optimize advertising strategies and maximize sales potential.

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Azure-Functions-Medical-System

Http and Queue Triggers, that relayed information from a local console application to Azure which then trigged a Queue trigger and Http Trigger which then sorted placed the information of patients after validation within the trigger into an Azure Database as well as Blob storage and Azure Tables

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Coin-K-Converter

A robust Android application that makes use of a Currency Converter API, Boasting a stunning Frontend enabling users on the go to check the exchange rates

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ElegantNails

website blends cutting-edge HTML animations with captivating visuals to showcase our premium nail services. Explore the gallery of stunning nail designs, watch our talented artists in action through dynamic videos, and schedule your appointment seamlessly with our user-friendly booking system

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Librare.io-Online

Librare.io is a modern MVC ASP.NET Core .NET 8.0 application designed as an interactive online library with a Steven Universe theme, users can add their books that inspire tem the way steven inspires Leighché and create a serene space

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MicroBit-Remote

A Kotlin application that controlls the MacqueenPlus V2 robot, using http requests, connecting via a wifi modul (ESP-01) connected on the robot.

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Student-Records-Management-App

a C# application that connects to a SQL database for student and lecturers , managing student records, capturing marks, and tracking student modules, seperate functionality as per roles

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TaskTracker-Windows-App

This is a standalone desktop time management application built using C# and Windows Presentation Foundation (WPF). The application allows users to manage their academic schedule for a semester, including adding modules, tracking self-study hours, and calculating remaining self-study hours for each module

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