DATA DIVE DAYS

Process and product of various data science tasks— from data collection, data preparation, data visualization, to basic statistical analysis and modelling. Datasets for practice available.

Selected as Top 100 Data Science Resources for 2018/2019

on MastersInDataScience.com

September 5, 2020

The Singapore government publishes locations visited by COVID-19 patients in the last 14 days, and removes any data earlier. I decided to capture the data in its entirety in a Google sheet (for anyone who would be interested to do further analysis). This data is also s...

April 6, 2020

Tried out textgenrnn, to create a text-generating neural network, using text from Singapore's Budget 2020 - Resilience Budget/ Supplementary Budget Statement as the training set. There's over 10,000 words in the statement/ text file but there are some Chinese text with...

March 26, 2020

Looking at the number of updates published on the Ministry of Health's website, we might be able to get a sense of the severity of the coronavirus situation in Singapore and also the amount of efforts/ changes in measures introduced by the government across time.

Data i...

March 25, 2020

There are various open-source datasets on Python and R relating to global cases but here's sharing a more detailed dataset focusing specifically on Singapore only that I've collated and validated across Ministry of Health (MOH)'s website and Facebook page. Initially I...

February 16, 2020

Here I make use of the package fbprophet to forecast the number of COVID-19 cases in Singapore using Python. Quoting from the official site on Prophet: Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are f...

February 16, 2020

Part I covers the use of Monte Carlo simulations to estimate the likelihood of the number of cases for COVID-19/ 2019-nCov for the next five days. 

[From Wiki] Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on re...

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