Ndaruga/Web-application-using-php

Stars
3
Rank 3,963,521 (Top 79 %)
Language SCSS
Created over 3 years ago
Updated about 3 years ago

Ndaruga/Web-application-using-php

Ndaruga

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

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