Tasnim Ferdous Dima's repositories
tfjs-examples
Examples built with TensorFlow.js
SentimentAnalysis
Taking Tweeter Data and try to detect whether a tweet express a positive or negative emotion using NLP
Udemy-Machine-Learning-A-Z
This Repository contains all the codes I have implemented while completing the course 'Machine Learning A-Z' on Udemy.
Omnifood
A fully responsive website designing using html5, css3, media-query, ajax
hotel-room-reservation-system
Distributed Database System
Finding-correlation-among-social-media-usage-depression-sleep
In our project we tried to analysis whether there is a link between depression and social media usage time
Cyclone-Visualization-on-map
webgl, html, javascript
findADoctor_Website
java-servlet
Algorithmic-Toolbox-by-University-of-California-San-Diego-National-Research-University-Higher-School
algorithm-challenges
Dictionary_Android_app
Android , Digital Dictionary
ItemList_android_app
android , database
CanYouSeeMe_Game
java , socket-server,multiplayer game
BoiBodol.com_Website
Website, C# and MVC framework.
python-reference
Python Quick Reference
Analysing-IMDB-reviews-using-GloVe-and-LSTM
Using the IMDB data found in Keras here a few algorithms built with Keras. The source code is from Francois Chollet's book Deep learning with Python. The aim is to predict whether a review is positive or negative just by analyzing the text. Both self-created as well as pre-trained (GloVe) word embeddings are used. Finally there's a LSTM model and the accuracies of the different algorithms are compared. For the LSTM model I had to cut the data sets of 25.000 sequences by 80% to 5.000, since my laptop's CPU was not able to run the data crunching, making the model's not fully comparable.
MERN_ECommerce_App
A MERN Ecommerce App
Banglish-Sentiment-Analysis
Sentiment analysis for phonetic Bengali sentences.
lexical_db_bangla
Automatically constructed lexical database for Bangla inspired from Wordnet