yogeshkarthik Goto Github PK

124014063

analysing-insomnia-twitter-data

This project involved analysing the collected dataset about people experiencing insomnia. This repository contains the code to construct a dataset using the Twitter API, then some data should be annotated with sentiments which is used for training transformer models. The data can be clustered into topics for further analysis with BERTopic.

anomalydetection-in-surveillancevideos

Implementation of Convolutional Autoencoders(spatio-temporal) to be trained over Avenue and UCF Datasets to identify anomalous activities.

assignment

data-structure-algorithm-programs

This Repo consists of Data structures and Algorithms

deloitte_technology_fast_500_analysis

dsa-essentials-course

Data Structures and Algorithms Essentials Course Repository

feedwebsite

Try feed website

first-contributions

🚀✨ Help beginners to contribute to open source projects

forking-lesson

forking practice

gittrial

global-super-store-database

This repository is about designing a database model for Global Super Store. This project is the final project of the 7th course "Advanced Data Modeling" of Meta Database Engineer Professional Certificate on Coursera.

hello-world

Hello world in every computer language. Thanks to everyone who contributes to this, make sure to see contributing.md for contribution instructions!

imdb-dataset-analysis

Basic analysis on the IMDb dataset downloaded on 1st July 2023

logi7400

Logisim 7400 series integrated circuits library

m3l2_forking_lab

forking lab

m4l1_managing_a_project

forkinglabproper

metadatabaseengineer_capstoneproject

Capstone Project

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

nano-demo-calculator-app

Demo app to test and get used to the demo envrionment

node-js-playlist

CSS and asset files for the Net Ninja YouTube nodejs playlist

parts_of_speech_tagging_using_viterbialgorithm

portfolio

secretkey

smithnet

RNN network for anomaly detection

summa

vad_using_autoencoders

Video Anomaly Detection using Datasets