martynscn

Martyns Nwaokocha's repositories

Automating-data-exchange-between-Clickup-and-Google-sheets

Language:JavaScript3 10

Masters-Thesis-on-Quantum-Cryptography

The title of the thesis is Shor's algorithm in Quantum Cryptography. This repository contains the data and Jupyter notebooks containing the codes used in the Quantum simulations of different variants of Shor's quantum factoring algorithm. While IBM Qiskit has already implemented the algorithm using the standard Quantum Fourier Transform (QFT), this project goes further to implement the algorithm using the Semiclassical QFT. This new variant helps in optimizing the number of qubits needed for quantum computation.

Language:Jupyter Notebook2 20

Automate_Mail_DPRS_Monthly_Summary_Update

This little project automates sending the monthly summary of data analytics training conducted for staff members of the Nigeria Federal Ministry of Health (FMoH) DHPRS. Since each DHPRS staff member has their specific training records, this little script performs the job of sending monthly updates (which takes a full day if manually done) in less than 5 minutes with 100% accuracy.

Language:JavaScript1 10

CAR_Data_Check_and_Notification

Language:JavaScript1 10

DHIS2-Google-sheets-Addon

Language:HTML1 20

DHIS2-Reporting-Rate-GAS-20190314-

DHIS2 Code Library

Language:JavaScript1 10

Extract-DHIS2-Data-Library

This repository contains code that can be reused as a library to easily extract, transform and load (ETL) data from DHIS2 to Google sheets.

Language:JavaScript100

Get-my-drive-folders-library

Language:JavaScript1 10

Machine-learning-algorithms

This contains the codes I used in comparing different machine learning algorithms while taking the course on Machine learning algorithms.

Language:Jupyter Notebook1 20

MNH_QoC

Quick dashboard for the MNH QoC in selected states in the country

Language:RGPL-3.01 10

Modelling-flight-delays

Code I used from the IBM developer tutorial in learning how to use AutoAI in IBM Cloud Pak for Data. In this tutorial, I learnt how to use different utilities in IBM Cloud Pak for data to build and deploy a machine learning model used to "Predict flight delays with IBM Cloud Pak for Data on IBM Power Systems".

Language:Jupyter Notebook1 20

NCH_Dashboard_Builder

Language:R1 10

NHMIS_MSDAT_Dataset

Language:JavaScript1 10

NPHCDA_Monthly_States

Language:R1 10

PCP-analysis-tutorial

A tutorial on PCP I conducted for a friend.

Language:Python1 20

Practice-for-Machine-learning-foundations-class

Language:Jupyter Notebook1 20

Practice-on-Open-Source-Computer-Vision-Library-Open-CV-

This repository contains the codes used for practicing several image operations such as pixel manipulation and filtering, blurring, dilation, erosion, scaling and rotating images. Also object detection such as segmentation, skin detection, contour object detection, canny edge detection were also performed. Lastly, face and feature detection using template matching and Haar cascading was performed. All of this was done using the Open Source Computer Vision Library (Open CV)

Language:Python1 20