Discover @Ndaruga Open Source projects

Francis Ndaruga (@Ndaruga)

Ndaruga

Stars
17
Global Rank 708,350 (Top 25 %)
Followers 5
Following 4
Registered over 4 years ago
Most used languages

Jupyter Notebook
40.0 %

Python
20.0 %

SCSS 10.0 %

JavaScript
10.0 %

Batchfile 10.0 %

TSQL 10.0 %
Location 🇰🇪 Kenya
Country Total Rank 1,303
Country Ranking

Batchfile 10

TSQL 24

SCSS 26

Jupyter Notebook
142

Python
724

JavaScript
1,830

Web-application-using-php

My website code from scratch

Twitter-Bot

Auto tweet from Open AI and telegram

Facial-Attributes-Recognition-Using-Machine-Learning

This is a supervised Machine Learning project that recognizes if a face has attributes such as wrinkles, freckles, has glasses, hair color, and a couple of other attributes.

Jupyter Notebook

Expert-Sytem-AI

Jupyter Notebook

Integration-Services-with-ETL-using-MSSQL-server-and-power-BI

ETL using MSSQL server and Power BI

Real-Time-Flight-Tracking-Dashboard

Track the location and status of an aircraft in real time

Auto-configuration-of-virtual-Machines-with-ansible

configuring and automating servers with ansible.

Multiple-Machine-Learning-Projects

This repository contains multiple machine learning projects for supervised, semi-supervised, unsupervised and reinforcement machine learning

Jupyter Notebook

Node.js-App-with-Express-MongoDB-and-Google-OAuthentication

Extract-weather-data-from-open-weather-API-using-python-and-AWS-EC2

Extracting weather data from the OpenWeatherMap API using Python and AWS EC2

Fraud-Detection-in-credit-cards-using-anormaly-detection

This project involves identifying unusual patterns or behaviors that may indicate fraudulent activity in credit cards. Anomaly detection algorithms work by learning patterns from historical data and then detecting deviations from those patterns in new data. Three algorithms have been utilized. i.e Autoencoders & Angle-based Outlier Detection (ABOD)

Jupyter Notebook

demo