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Name: Joyce Huang
Type: User
Bio: NUS Master of Science in Business Analytics
Location: Singapore
Name: Joyce Huang
Type: User
Bio: NUS Master of Science in Business Analytics
Location: Singapore
In this report, we analyzed the flight network worldwide. Through time series and network analytics, we investigated how the travel networks have been affected by the virus and the restrictions. However, lately as the restrictions are gradually lifted in many countries, we are expecting a recovery in tourism industry. By studying the travel networks in different stages of the regulations, hubs are identified. Coupled with the COVID policies in various countries, we aimed to optimize the airline travel operations to satisfy the needs of the newly revived tourism.
The Volcker Rule was announced to restrict banks from conducting certain investment activities with their own account in order to decrease risks taken by the bank, and hence to have a greater stability. Due to the restrictions, banks might argue that their profitability has decreased and therefore, assumption was made to analyze the impact of the Volcker Rule. In this project, we used the Difference-in-difference (DiD) models, including the baseline DiD model and the robust DiD models that considered the heterogeneity of different time points and individual bank holding companies by adding the fixed effect technique. In addition, we also conducted a propensity match to compare the post Volcker Rule results with the most similar results before the announcement of the Volcker Rule.
To retain customers, companies are developing sophisticated churn management strategies. These strategies typically ranking customers based on their estimated propensity to churn. The implicit assumption is that this process would maximize firm's profits by targeting customers who are most likely to churn. We propose a predictive model to understand which value customers are likely to churn and should be retained.
This experiment aimed to test the accuracy of Google Lens in recognizing rare collectable photos of expensive watches, particularly high-end watch brands. The researchers randomly selected five high-end watch models from the top 10 most popular brands and tested them using more than 30 images for each watch model.
The majority of cinema income is from screening new release films. A hit film results in high ticket income and high concession sales, and vice versa. Therefore, film arrangement is a significantly essential task for cinemas. Traditionally, theaters would predict a high box office for a movie with famous producers, popular cast and high budget and allocate more screenings to these kinds of movies. This is also how audiences made their decision in the past. However, with the spread of SNS and online critics commentaries, people tend to search for comments on the Internet before buying a ticket. As a result, people’s comments become more and more important to affect the revenue of a movie
Music Recommendation Filter based on Emotions Extracted from Facial Expression and Speech Audio
trying to understand a network by calculate the graph-level and node-level metrics.
The shift in consumer’s shopping behavior from retail shopping to e-commerce has resulted in tremendous growth of the e-commerce industry over the past few years. Many e-commerce companies analyze visitor sessions on their platforms, with the aim of increasing purchase conversion rates. Some of these companies are interested in predicting user behavior of each individual visit session on e-commerce websites. The task in the online shopper’s intention dataset is to predict whether a user is going to make a purchase based on data from a user’s current session.
For final model I used the BERT model. First, I loaded in the BERT pretrained model configuration as tokenizer. From there, we then encoded the train, validation, and test data. The max_length of the text was set to be 128 and I split the data into input_ids, attention_masks and labels. Second, I loaded in the BERT pretrained model and create data loaders which combine dataset and sampler together. RandomSampler is used for training and SequentialSampler for validation. The batch_size is set to be 1 due to the limited memory in my Google Colab. Third, I created a scheduler with an AdamW optimizer and iterations of 1. I tried to run for 2 to 3 epochs, but due to the limited memory on my laptop, only 1 epoch worked successfully after multiple attempts. Finally, I started with my BERT model training process with free Tesla K80 GPU on Google Colab and saved my model in my device, so I can load my pretrained model and evaluate the performance.
Error and attack tolerance of complex networks
The task involves bundling a sentiment analysis tool utilizing the FinBERT and RoBERTa models with Streamlit, along with incorporating a DALL-E API for producing images, allowing users to visually comprehend the meaning of the title in a more intuitive manner.
With most of the country’s population vaccinated against COVID-19 and a similar movement taking place concurrently across the globe, Singapore has accelerated its shift towards a COVID-endemic strategy. Prompted by the need to jumpstart the economy, measures have been passed to allow the country and various sectors of the economy to re-open gradually. Part and parcel of these reforms is the relaxation of border control measures. As of October 2021, vaccinated travellers from eight (8) countries were allowed to enter the country without the need for self-quarantine. That list has since expanded to include thirteen (13) countries on top of comparatively looser restrictions for jurisdictions not yet part of Singapore’s Vaccinated Travel Lanes (VTL) program.
Word similarity calculation using word2vec and gensim
Scrape data from Yahoo Financial API
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.