Azzubair Azeman's repositories
azzubair01
Config files for my GitHub profile.
Bank_Statement_Digitization
:house: This repository can be used for parsing PDF bank statements into Microsoft Excel files using Camelot library. Also, we added other important information from the documents using Tensorflow Object Detection API and Google Tesseract.
shields
Concise, consistent, and legible badges in SVG and raster format
Hotel_Booking_Analytics
🐧🏠 This repository can be referred for basic data science analytics tasks such as descriptive analytics (data distributions & data preprocessing) and predictive modelling (classification or regression tasks).
Time-Series-Forecasting
:penguin::house: This repository can be referred time series prediction and forecasting tasks using either statistical methods or machine learning techniques. More TSF tasks will be uploaded soon.
Selenium_Translation
:house: This repository can be used for translating text files using selenium library. Also, we added required chromedriver.exe. as part of the requirement for the translation.
ABSphreak
:octocat: Hello there! This repository is for the welcome message on my Github Profile.
Image-Processing
:penguin::house: This repository can be referred for image processing tasks such image resolution enhancement, and classification. More image processing tasks will be uploaded soon.
Invoice-Segmentation
:penguin::house: This repository can be referred for performing custom object detection using Tensorflow. Please take note that we used Google Colab for training.
Multilingual_Name_Matching
:penguin: This repository is used for finding strings that match a pattern approximately across languages. In this project we trained, finetuned, and test a fuzzy matching model for four common languages in Malaysia such as Malay, Arabic, Mandarin, and Tamil.
Invoice-Dataset
This repository keeps the required files for the Invoice-Segmentation repository
Natural-Language-Processing
:penguin::house: This repository can be referred for Named Entity Recognition, Relation Extraction, and Coreference Resolution Tasks using StanfordCoreNLP Library. More NLP tasks will be uploaded soon