ndeepanshuraju Goto Github PK

apollo

An open autonomous driving platform

classroom-attendance-using-face-detection-using-raspberrypi

A lot of productive time is wasted when the attendance of the class is taken manually. So, I present a better approach of knowing the class attendance using a facial recognition system that would recognize the student during the class without wasting much of the time. A facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. As face is the primary identification for any human, my system would recognize each student using face as the feature for recognition. The system would automatically update the student’s presence in the class to the student’s database and send messages to guardians of absentees and also to the HOD.

college-enquiry-chatbot-using-natural-language-toolkit

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

deep-learning-projects

This repository contains all the deep learning projects done as tutorial

deepad

Deep Learning for Anomaly Deteection

intrusion-detection-systems

This is the repo of the research paper, "Evaluating Shallow and Deep Neural Networks for Network Intrusion Detection Systems in Cyber Security".

machine-learning-projects

This repository contains mini projects in machine learning with notebook files

ml-ids

A machine learning based Intrusion Detection System

network-intrusion-detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

ros_intel_movidius_ncs

sdss-vae

Dimensionality Reduction of SDSS Spectra with Variational Autoencoders

tx2_fcnn_node

ROS node for real-time FCNN depth reconstruction

vae-anomaly-detector

Experiments on unsupervised anomaly detection using variational autoencoder. The variational autoencoder is implemented in Pytorch.

visualising-data-and-applying-linear-regression-model-1

An Ecommerce company sells clothing online but they also have in-store style and clothing advice sessions. Customers come in to the store, have meetings with a personal stylist, then they can go home and order either on a mobile app or website for the clothes they want. The company is trying to decide whether to focus their efforts on their mobile app experience or their website. All the collected data of customers (Email,Address,Avatar,Avg. Session Length,Time on App,Time on Website,Length of Membership,Yearly Amount Spent) are stored in "Ecommerce Customers.csv" file for consideration.