• Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created over 2 years ago
  • Updated over 2 years ago

Reviews

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

Repository Details

More Repositories

1

Web-application-using-php

My website code from scratch
SCSS
3
star
2

Twitter-Bot

Auto tweet from Open AI and telegram
Python
2
star
3

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
2
star
4

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

ETL using MSSQL server and Power BI
TSQL
1
star
5

Real-Time-Flight-Tracking-Dashboard

Track the location and status of an aircraft in real time
1
star
6

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

configuring and automating servers with ansible.
Batchfile
1
star
7

Multiple-Machine-Learning-Projects

This repository contains multiple machine learning projects for supervised, semi-supervised, unsupervised and reinforcement machine learning
Jupyter Notebook
1
star
8

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

JavaScript
1
star
9

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

Extracting weather data from the OpenWeatherMap API using Python and AWS EC2
Python
1
star
10

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
1
star