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data-cleaning

This repository is related to House Price Prediction project where I demonstrate how to clean scrapped data using Python Pandas. It is also part of our online learning assessment.

emotion-and-sentiment-analysis

The Python code are used to create a data processing pipeline from data extraction to data modelling in order to choose the best classifier in predicting emotion and sentiment from the Google Play Store reviews.

facebookmessenger

This project explored the relationship of two people via their Facebook messenger conversation which will answer the most crucial question in relationship ie. he likes me or he likes me not.

google-play-store-review-extractor

☎️ Extract/Scrape Google Play Store Reviews of any Android Application ☎️

google-play-store-scrape-python

The repo lets you crawl and scrape all reviews, date, name, ratings from Android play Store with Python

google-reviews-scraper

klangvalley-house-price-prediction

marimekko-chart-generator

This is a R shiny apps written to generate a Marimekko Chart. It is based on https://learnr.wordpress.com/2009/03/29/ggplot2_marimekko_mosaic_chart/ the but I have changed the codes so that it is compatible to the latest version of R packages.

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

scrape-google-play-store-reviews

scrape-google-play-store-reviews-of-any-android-application

Scrape/ exctract Google Play Store Reviews of any Android Application and save to a csv file

scrapeplaystorereviews

Scraper to extract reviews for an app on Google Play Store

streamlit_houseapp

Milestone 5 of the House Price Prediction Project which involve deploying the ML model in the form of web app and phone app

tf-idf_and_k-means

Text clustering with K-means and tf-idf

winutils

winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows