Pinned Repositories
Dengue-Cases-Prediction
[Time-Series Analysis] Project 4 for General Assembly's Data Science Immersive Course. This project leverages on time series models to make predictions on the number of dengue cases in the short term.
Electricity-Consumption-vs-Weather
[EDA] Project 1 for General Assembly's Data Science Immersive Course. This project is purely on Exploratory Data Analysis, where the goal is to ascertain the correlation between the level of electricity consumption (and thus, plan for electricity generation) based on climate-related data.
English-SocialMedia-SentimentAnalysis
[NLP, VADER] Project 3 for General Assembly's Data Science Immersive Course. This project builds on the VADER model to create a sentiment analysis model for YouTube comments.
Malay-SocialMedia-SentimentAnalysis
[NLP, ChatGPT API] Capstone Project for General Assembly's Data Science Immersive Course. This project explores the feasibility of using ChatGPT's API for sentiment labeling to create a best-in-class sentiment analysis model for social media comments in the Malay Language.
Singapore-HDB-Price-Prediction
[Linear Regression] Project 2 for General Assembly's Data Science Immersive Course. This project involves creating a linear regression model to predict resale prices of HDB houses in Singapore, based on various contributing factors.
streamlit-apps
ezracalis's Repositories
ezracalis/Singapore-HDB-Price-Prediction
[Linear Regression] Project 2 for General Assembly's Data Science Immersive Course. This project involves creating a linear regression model to predict resale prices of HDB houses in Singapore, based on various contributing factors.
ezracalis/Electricity-Consumption-vs-Weather
[EDA] Project 1 for General Assembly's Data Science Immersive Course. This project is purely on Exploratory Data Analysis, where the goal is to ascertain the correlation between the level of electricity consumption (and thus, plan for electricity generation) based on climate-related data.
ezracalis/Dengue-Cases-Prediction
[Time-Series Analysis] Project 4 for General Assembly's Data Science Immersive Course. This project leverages on time series models to make predictions on the number of dengue cases in the short term.
ezracalis/English-SocialMedia-SentimentAnalysis
[NLP, VADER] Project 3 for General Assembly's Data Science Immersive Course. This project builds on the VADER model to create a sentiment analysis model for YouTube comments.
ezracalis/Malay-SocialMedia-SentimentAnalysis
[NLP, ChatGPT API] Capstone Project for General Assembly's Data Science Immersive Course. This project explores the feasibility of using ChatGPT's API for sentiment labeling to create a best-in-class sentiment analysis model for social media comments in the Malay Language.
ezracalis/streamlit-apps