Kew Jing Sheng (KewJS)

KewJS

Geek Repo

Company:Data Scientist / Software Developer

Location:Dubai

Home Page:https://www.linkedin.com/in/jing-sheng-kew-a3a05b64/

Github PK Tool:Github PK Tool

Kew Jing Sheng's repositories

Finance_Chatbot

Using advance language model like GPT2 and advance words embedding to build a chatbot for banking service, focusing on answering questions raised by customers for banking services

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

Sentiment_Analysis

Building multiple sentiment analysis models from CNN, LSTM to BERT for google play service reviews data.

Language:Jupyter NotebookLicense:MITStargazers:1Issues:0Issues:0

Time_Series_Forecasting

Learning on time series forecasting

Language:Jupyter NotebookLicense:MITStargazers:1Issues:2Issues:0

Well_Logs_Prediction

Predict of well logs, focusing on elastic properties like Shear Velocity and Density

Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:0

wqd7004-dengai

Programming for Data Science

License:MITStargazers:1Issues:0Issues:0

dengue-prediction

Principle of Data Science-UM Master

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0

Instacart-Market-Basket-Analysis

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

Instacart_Customer_Segmentation

Complete framework on customer segmentation covering RFM analysis, Market Basket Analysis, Association Rule Mining, Unsupervised Clustering and Orders Prediction (Classification

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:2

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:0Issues:0

maxis-nbiot-hackathon

Training Materials/Guides/Reference for Maxis NB-IoT Hackathon 2019

Language:PythonStargazers:0Issues:1Issues:0

Stock_Portfolio_Optimization

Optimize stock portfolio picking based on optimization model

License:MITStargazers:0Issues:0Issues:0

PDS_Group_E_Energized_Geek

[UM MASTER] WQD 7001 - Principle of Data Science Group Project

Language:RLicense:MITStargazers:0Issues:0Issues:0

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

License:MITStargazers:0Issues:0Issues:0

Pytorch_Tutorial

Learning Pytorch from Basic to Advance models

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

Reviews_Summarization_Anayzer

Perform summarization models, testing on both extractive and abstractive summarization. Extract text from PDF books, and then summarize the sentence from PDF books.

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

Stocks_Forecasting

Full end-to-end forecast of stocks data

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

Text_Spam_Classification

Create text classification model on defining whether the text is spam or not. Deploy the model using FastAPI

Language:Jupyter NotebookLicense:MITStargazers:0Issues:0Issues:0

tfx

TFX is an end-to-end platform for deploying production ML pipelines

License:Apache-2.0Stargazers:0Issues:0Issues:0