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Bio: I am a Data Scientist who transitioned from biochemistry. I am an avid learner with a passion for solving business challenges through data-driven decisions.
Type: User
Bio: I am a Data Scientist who transitioned from biochemistry. I am an avid learner with a passion for solving business challenges through data-driven decisions.
Third Mini Project looking at financial transactions to generate customer segmentation through demographics and banking behaviours. The project was an unsupervised learning experiment starting with Data Wrangling, Visualization, and Preparation to Feature Engineering and finally Dimensionality Reduction via PCA. Clusters were generated through KMeans Clustering techniques.
A repository of collected lessons on the development of Data Science skills
A large-scale bioactivity database for drug discovery (BigQuery) [Kaggle](https://www.kaggle.com/bigquery/ebi-chembl/code)
Machine learning problem looking at Cleveland healthcare dataset from Kaggle for the prediction of the likelihood of heart attack based on patient attributes.
Fifth Mini Project looking to predict English sentences translated from German via the NLTK Comtrans corpora using a pipeline of data preprocessing and stacked LSTM deep learning models.
Fourth Mini Project looking to predict loan status via a pipeline of data preprocessing and supervised learning models based on applicant information. The model was then developed into a Flask App API and deployed to the cloud (AWS) for implementation.
Second Mini Project looking at the points of interest (POI) in Waterton, AB through Foursquare and Yelp APIs to practice techniques relating to: APIs, Databases (SQL), Pandas, and the processing of special data types in Python.
With a dataset originating from Kaggle, the goal is to utilize daily historical sales data and forecast the total amount of products sold in every shop for the test set. Note that the list of shops and products slightly changes every month. Creating a robust model that can handle such situations is part of the challenge.
Midterm Project of Lighthouse Labs consisting of generating a supervised machine learning model for predicting the flight delays of US flights from 2018-2019
This is the legendary Titanic ML competition from Kaggle looking to use machine learning to create a model that predicts which passengers survived the Titanic shipwreck.
Capstone Project of Lighthouse Labs consisting of web scraping hiking trail information to build a dataset on top of the Walking and Tramping routes provided by the Department of Conservation (DOC) in New Zealand. Trail information is cleaned and recommendation systems are generated based on hiking similarities. Recommender built into a Streamlit App and deployed on AWS
First Mini Project evaluating the Transport of London API information to practice different HTTP requests and extracting values from complex lists and nested dictionaries. This work was presented in a 5 minute session.
Exploratory Data Analysis of two Kaggle datasets for TV Shows (1) and Movies (2) compared between Netflix, Hulu, Prime Video and Disney+ streaming platforms. The information collected from this notebook was implemented in a RnR (Research and Reflect) paper generated for Medium.com.
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.