im-pek
Data Scientist | with exceptional focus on NLP, Text Analytics, Topic Modelling, Recommendation Systems, Trend Analysis, Pattern Recognition, Novel Algorithms
Singapore
im-pek's Stars
vuejs/vue
This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core
mesolitica/malaya
Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
SimFin/simfin
Simple financial data for Python
Benny-/Yahoo-ticker-symbol-downloader
A web scraper for ticker symbols from yahoo finance
aws-samples/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.
im-pek/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.
im-pek/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.
im-pek/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.
im-pek/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.
im-pek/NLP-NER
Natural Language Processing and Named Entity Recognition to automatically get specific structured entities from unstructured texts / data input.
im-pek/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).