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Name: Lina Ta
Type: User
Bio: Data science enthusiast with experience in the design and development of data analytics solutions as well as machine learning tools for predictive modelling
Location: Hong Kong
Name: Lina Ta
Type: User
Bio: Data science enthusiast with experience in the design and development of data analytics solutions as well as machine learning tools for predictive modelling
Location: Hong Kong
Using Alteryx, we designed and analysed an A/B test and wrote up a recommendation on whether a coffee chain should introduce a new menu.
Using Tableau, the objective of this investigation is to find visual evidence that a baseball player's BMI and handedness can be a determinant in its performance measured by its batting average and number of home run.
Using deep learning model to train an image classifier to recognize different species of flowers.
Build a machine learning pipeline that can automatically classify disasters messages to allow agencies to determine more efficiently the nature of the disaster
Financial Sentiment Analysis with BERT
Using several supervised algorithms to model individuals' income using data collected from the 1994 U.S. Census.
Using Alteryx, we used time series forecasting models to forecast monthly demand for a video game producer production plan.
Using Python, we built a natural language processing model to classify webpages into predefined tag classes
Using XGBoost in Python, we built a prediction model to determine clients propensity to renew their insurance policy and create an incentive plan for agents (at policy level) to maximise the net revenues from these policies.
Using Tableau, we analysed major movie trends since 1960s
Using Alteryx, we want to predict how much profit a company can expect from sending its catalog to new customers
Using Alteryx, we built and applied a classification model to provide a recommendation on which loan applicants the bank should lend to.
Using Alteryx, we used multiple analytical techniques to provide recommendations on a grocery store chain expansion project.
Analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they would like.
Using R, we analyzed a sample of red wines through their chemical properties and see which chemical properties may determine their quality.
Using pandas, seaborn and matplotlib, we deep dive into the Seattle Airbnb Open Data set to analyse the hosting market in 2016 and provide some insights for homeowners looking to set up their hosting business plan.
Using k-means to perform Starbucks mobile app's customer segmentation and determine which demographic groups respond best to their promotion offer
Using Python, we are interested to extract and analyze data from the WeRateDogs twitter feed based on comments, images, ratings, favorite and retweet counts.
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.