rafiulbiswas Goto Github PK

arabictweetclassificationusingbert

awesome-ai-summerschool

A list of summer schools on Artificial Intelligence, Machine Learning, and Healthcare

cumulustv

Android TV Live Channel Plugin with user-entered stream files

drugtargetinteraction

fine-tuned-chatgpt-model

hatespeech-detection

We applied Lo- gistic Regression, SVM, Random Forest, Decision tree, and Gradient Boost to predict the label be- tween yes and no. Then, we measured the ac- curacy, precision, recall, and F1- Score for each test

implementation-of-adv-data-structures

Implemented various projects on advanced algorithms in Graphs like Maximum weighted bipartite matching, Shortest path algorithms like Bellman-Ford algorithm, Djikstra algorithm, DAG, Minimum Spanning Tree algorithms like Kruskal, Prims, Hashing, Priority Queues, ecommerce website like Amazon, Arithmetic operation on very big numbers using linked list and so on. Developed all projects in Java.

minimal-vertex-cover

Implements König-Egeváry theorem by finding a minimum vertex cover for a bipartite graph

nlp_notebooks

This repository contains a collection of Jupyter notebooks that demonstrate how to use natural language processing techniques to analyze text data. The notebooks cover a range of topics, including sentiment analysis, topic modeling, named entity recognition, word embedding, tokenization, and lemmatization.

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

psva

ra

reactnativeappcarnotaumart-

repe

sample-image-picker

Pick Image from folder

sampleimagepicker

Pick Image from folder

scikit-llm

Seamlessly integrate powerful language models like ChatGPT into scikit-learn for enhanced text analysis tasks.

sentiment_analysis_of_pre_post_covidtweets

test

twitter-community-detection

University project: Twitter community detection using Modularity, Infomap, Label propagation and Multilevel algorithms

vaccine-rollout-and-sentiment-shift-in-twitter-population-a-surveillance-study

This study aims to find out the variation of Twitter users’ sentiment before and after the COVID-19 vaccine rollout. We analyzed all COVID-19 related tweets posted on Twitter within two timeframes: September 2020 (T1) and March 2021 (T2