kohjiaxuan/Data-Science-Competition-for-Revenue-Maximization kohjiaxuan/Data-Science-Competition-for-Revenue-Maximization

  • Stars
    star
    1
  • Language
  • Created over 5 years ago
  • Updated over 5 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
kohjiaxuan/Data-Science-Competition-for-Revenue-Maximization
github

kohjiaxuan

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Data Science Competition that challenged teams to come up with creative ways to increase the revenue of an e-commerce company. Won 1st place! Write-up in repository

More Repositories

1

Wikipedia-Article-Scraper

A complete Python text analytics package that allows users to search for a Wikipedia article, scrape it, conduct basic text analytics and integrate it to a data pipeline without writing excessive code.
Python
17
star
2

Stock-Market-Dashboard

Creating a stock market dashboard from an external API that tracks daily performance of stocks
Python
14
star
3

NLP-Model-for-Corpus-Similarity

A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.
Python
9
star
4

Visualisation-of-Gradient-Descent

By visualizing the gradient descent algorithm applied on a set of points that fits a quadratic equation, we understand better how the algorithm works in machine learning
Jupyter Notebook
2
star
5

Predicting-HDB-Price-with-Machine-Learning

Data Project of Predicting HDB Resale Flat Prices with data cleaning, feature engineering and machine learning. Models used: Random Forest, XGBoost, Neural Networks, Decision Tree, Support Vector Regressors, Linear Regression
Jupyter Notebook
2
star
6

Fraud-Detection-Pipeline

A structured data science pipeline for classification problems that does scaling, sampling, k-fold cross validation with evaluation metrics
Jupyter Notebook
1
star