Abdullah Al Imran's repositories
abdalimran.github.io
Personal website where I share my knowledge, ideas, and philosophy.
BaitBuster-Bangla
BaitBuster-Bangla: A Comprehensive Dataset for Clickbait Detection in Bangla with Multi-Feature and Multi-Modal Analysis
pykotokenizer
PyKoTokenizer is a Korean text tokenizer for Korean Natural Language Processing tasks.
Scholarly-Abstract-Builder
This script will take a DBLP link and build a PDF book compiling all the abstracts of the conference proceedings.
A-B-Test-Result-Analysis
Project on Analysis of A/B test results.
NLP-Sentiment-Analysis
NLP Project: Sentiment Analysis of Tweets on Global Warming
NLP-Use-of-Pretrained-word2vec
NLP Project: Stackoverflow post tag prediction using pretrained word2vec model
Android_to_MySQL_Server
A simple android app that sends data to MySQL server in hosting.
code-utilities
Useful code snippets
Course-Curriculum-Builder
Develop a new course curriculum from top courses of Udemy
d3-graph-experiments
D3 Graph Experiments
Data-Mining-Assignment-Matlab
University assignment on CSC 4139: Data Warehouse and Mining using Matlab
Deep-Learning-A-Visual-Approach
All of the figures and notebooks for my deep learning book, for free!
javascript-essential-training
This repository is for the Linkedin Learning course: JavaScript Essential Training
keras-embeddings
Example of how to use entity embeddings (similar to word embeddings such as word2vec, but then generalized for any categorical feature) in a Keras model.
OpenGL_using_GLUT
Some of my drawing assignments source codes using OpenGL & GLUT.
Python-Exercise-Book
Python Exercise Book is a repository of some webpages that contains plenty of python exercises with solution. All the exercises were collected from w3resource.
QuantumForest
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
RegEx-Email-and-Weblink-Extractor
Extract emails and web links from a text file that contain large and messy text contents.
Workshop-on-DS-ML
A workshop on introductory Data Science and Machine Learning. Conducted by: Abdullah Al Imran