vinoth-kannan's Stars
Lawrence-Krukrubo/Building-a-Content-Based-Movie-Recommender-System
Applying Content-Based filtering and Matrix-Algebra to build a Movie-Recommender-System in Pandas
saadarshad102/Sentiment-Analysis-CNN
Sentiment Analysis using Convolution Neural Networks(CNN) and Google News Word2Vec
PradipCodes/wipro
Learning Material of Wipro Talennt Next Program
nitsourish/CNN-automated-Feature-Extraction
This repository consists code for the feature creation from structured data using CNN technique, along with input data and output data
vjvishaljha/Recommender_Sys
A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering
Ravipatel1309/CPUScheduler
College Project for CPU Scheduling Algorithm Simulator
AhmedNabih/CPUSchedulersSimulator
It's a project that simulate CPU in scheduling it's processes with a simple GUI
mihirsam/Information-Extraction-using-CNN
Extract the summary from the given text using Convolution Neural Network
hemanth-07-11/CPU-Scheduling-Visualisation
CPU SCHEDULING VISUALISATION - This is an attempt at simulating CPU Scheduling algorithms - FCFS, SJF, RR, Priority Scheduling.
Mahesh3394/Text-Classification-Using-CNN
Text classification using Convolutional Neural Networks (CNNs) is a popular deep learning technique for natural language processing (NLP) tasks. CNNs use filters to extract features from the text, and then use these features to classify the text into predefined categories.
yogeeswar2001/cpu_scheduling_algo_simulator
Simple application which will be able to simulate CPU scheduling algorithms such as fcfs, sjf, round robin and priority scheduling.
AJAY-P-37/CGPA-Calculator
This small web app will be useful for students who feel difficult to calculate CGPA / GPA
flame-alchemist/UNO-Game
Uno game using Data Structures
TamilvananK/Text-Analysis-of-CNN-News-Articles
This repository contains the code for a text analysis project that focuses on CNN news articles. The project includes web scraping, data preprocessing, and natural language processing techniques to extract insights from the articles. The code is written in Python and uses popular libraries such as BeautifulSoup and NLTK.