Pek Yun Ning's starred repositories

NLP-NER

Natural Language Processing and Named Entity Recognition to automatically get specific structured entities from unstructured texts / data input.

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amazon-textract-enhancer

This workshop demonstrates how to build a Document parser and query engine with Amazon Textract and other services, such as ElasticSearch and DynamoDB.

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malaya

Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

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Yahoo-ticker-symbol-downloader

A web scraper for ticker symbols from yahoo finance

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simfin

Simple financial data for Python

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Logistic_Regression_-_Confusion_Matrix

An application of Logistic Regression and presentation of its accuracy and precision using Confusion Matrix. This was applied to a consumer complaints dataset.

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LDA2Char_Topic_Modelling

LDA2Char is a novel topic modelling technique created in June 2019, by yours truly, Pek Yun Ning. It hybridises the older LDA and FastText topic modelling algorithms to form this all-new algorithm.

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LDA2Word_Topic_Modelling

LDA2Word is a novel topic modelling technique created in June 2019, by yours truly, Pek Yun Ning. It hybridises the older LDA and Word2Vec topic modelling algorithms to form this all-new algorithm.

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Doc2X_Topic_Modelling

Doc2X is a novel topic modelling technique created in June 2019, by yours truly, Pek Yun Ning. It hybridises the older Doc2Vec and Corex topic modelling algorithms to form this all-new algorithm.

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Optimisation-Model_Augmentation

An Optimisation + Model Augmentation project to derive best plant growth recipe. Includes concepts like linear regression, genetic algorithm, euclidean distance, uniform criterion, and cloud computing (integration with AWS DynamoDB).

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vue

This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

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