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My focus is on Data Science: Artificial Intelligence, Machine Learning, Deep learning. Whereby the basics for creating algorithms are from Matlab/Octave. Then move to develop models in Tensorflow 2.0 using platforms like Anaconda, Pycharm, Jupyter Notebooks. I have worked on different projects as MS SQL DBA (+5years) for many companies like Sorbet, We fix computers, Sun international, Sambe Consulting and other companies we had contracts with as a consultant. Whereby my main emphasis will be to organize and develop a system which is conducive to the modelling of the systems in order to produce ideal Business Intelligence system. That is database design, working with relational database management system (RDBMS) from Microsoft designed for the enterprise environment. Using SQL Server features to standard SQL, including transaction control, exception and error handling, row processing, and declared variables, user control. can click the Preview link to take a look at your changes.

Regina analytics's Projects

approximate icon approximate

The Approximate Library is a WiFi Arduino library for building proximate interactions between your Internet of Things and the ESP8266 or ESP32

deep-learning-keras-tf-tutorial icon deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

deepstream-occupancy-analytics icon deepstream-occupancy-analytics

This is a sample application for counting people entering/leaving in a building using NVIDIA Deepstream SDK, Transfer Learning Toolkit (TLT), and pre-trained models. This application can be used to build real-time occupancy analytics applications for smart buildings, hospitals, retail, etc. The application is based on deepstream-test5 sample application.

esp32-mqtt-room icon esp32-mqtt-room

An ESP32 based presence detection node for use with the Home Assistant mqtt_room component for localized device presence detection.

esp8266-sniffer icon esp8266-sniffer

An easy experiment which uses the ESP8266 wifi module to look for near smartphones around you

imsi-catcher icon imsi-catcher

This program show you IMSI numbers of cellphones around you.

iot-bus-device-with-passenger-counting-and-network-monitoring icon iot-bus-device-with-passenger-counting-and-network-monitoring

Develop a device using Raspberry Pi with Intel Movidius Neural Compute Stick to perform deep learning inference on gender and age prediction, at the same time perform network peformance monitoring by acquiring metrics like ping, downlaod speed, upload speed, RSSI

maskcam icon maskcam

Jetson Nano-based smart camera system that measures crowd face mask usage in real-time.

modmobjam icon modmobjam

A smart jamming proof of concept for mobile equipments that could be powered with Modmobmap tool

modmobmap icon modmobmap

Map 2G/3G/4G and more cellular networks in real live with a simple smart phone, pretty much like osmocomBB monitoring feature.

natural-earth-vector icon natural-earth-vector

A global, public domain map dataset available at three scales and featuring tightly integrated vector and raster data.

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