ashen99's Stars
arshadazaad3/arshadazaad3
kamranahmedse/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
sudheerj/the-complete-react-interview-guide
Repository for The Complete React Interview Guide book
kdn251/interviews
Everything you need to know to get the job.
ganqqwerty/123-Essential-JavaScript-Interview-Questions
JavaScript interview Questions
mtdvio/every-programmer-should-know
A collection of (mostly) technical things every software developer should know about
emmabostian/developer-portfolios
A list of developer portfolios for your inspiration
SamratRode/Fake-news-detection-using-BERT-and-hybrid-model
NLP project
wutonytt/Fake-News-Detection
Fake News Detection using a BERT-based Deep Learning Approach
InPhyT/IMDb_Sentiment_Analysis_BERT
BERT Sentiment Classification on the IMDb Large Movie Review Dataset.
FronkonGames/Steam-Games-Scraper
Extract information from all games published in Steam thanks to its Web API, and store it in JSON format.
google-research/bert
TensorFlow code and pre-trained models for BERT
rohan-paul/Awesome-JavaScript-Interviews
Popular JavaScript / React / Node / Mongo stack Interview questions and their answers. Many of them, I faced in actual interviews and ultimately got my first full-stack Dev job :)
rohan-paul/Cracking-The-Coding-Interview-Solutions-In_Python_JS
rohan-paul/MachineLearning-DeepLearning-Code-for-my-YouTube-Channel
The full collection of all codes for my Youtube Channel segregated as per topic.
sudheerj/javascript-interview-questions
List of 1000 JavaScript Interview Questions
sudheerj/reactjs-interview-questions
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
xoraus/CrackingTheSQLInterview
DBMS Concepts, SQL Queries & Schema Design for your Interviews.
mmilunovic/imdb-sentiment-analysis
Multinomial Naive Bayes Classifier, Linear Regression, KNN
mulhod/steam_reviews
Video game review datasets scraped from the Steam website (http://store.steampowered.com/). Data includes review text, number of hours that the reviewer played the game, number of friends, groups, etc.
mallika2011/Sentiment-Analysis
Text classifcation - sentiment analysis using BERT, huggingface and pytorch
bharatc9530/Sentiment-Analysis
Sentiment Analysis Using Bert Transformer
cipheraxat/Sentimental-analysis-using-BERT
Sentimental analysis using BERT implemented using pytorch
ronva-h/Sentiment-Analysis-with-Deep-Learning-using-BERT
curiousily/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI
Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch
Ameerkhankhan/Data-Analysis-with-Python-Video-Games-Review
The goal of this project is to create a model that can predict sentiment of internet talk about video games. Specifically, it will be a neural network model trained on Steam reviews. The reviews are marked either “suggested” or “not suggested”, corresponding to a results classification of “positive” or “negative”. Eventually, the project will result in a website that, when supplied with a Twitter hashtag or Reddit thread, will analyze the sentiment of the related comments.
rzkyif/steam-absa
A web application for information retrieval, aspect extraction, and aspect-based sentiment analysis on Steam review data of multiple games.
Yanxin-Ye/CSE6240_Project
Sentiment Classification of Game Reviews on Steam with Topic Analysis
DivyanshuVashisht/NLP
A collection of colab notebooks revolving around Natural Language Processing. This repo contains Sentiment Analysis on a group of Steam Reviews, Summarizing Text on a random Wikipedia page, an imitation of the Netflix Recommendation System with Transfer Learning using Google Pretrained Model, Q/A System using ALBERT and Speech-To-Text System.