denistanjingyu/Improving-National-Financial-Well-Being-Through-Machine-Learning-and-Artificial-Intelligence denistanjingyu/Improving-National-Financial-Well-Being-Through-Machine-Learning-and-Artificial-Intelligence

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • License
    MIT License
  • Created over 3 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
denistanjingyu/Improving-National-Financial-Well-Being-Through-Machine-Learning-and-Artificial-Intelligence
github

denistanjingyu

Reviews

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

Repository Details

Predicting financial well-being through survey data from the Consumer Financial Protection Bureau

More Repositories

1

StrataScratch

SQL Practice https://www.stratascratch.com/
35
star
2

Image-Classification-Web-App-using-PyTorch-and-Streamlit

A simple web demo with minimal framework using PyTorch and Streamlit to showcase an image classification model.
Python
13
star
3

Decision-making-with-Programming-and-Analytics-Project

Create a command line user interface which allows user to query data from stockcards data file. Understanding customer buying patterns, geographical distribution of transactions, stocks item analysis and forecast.
Python
5
star
4

Instacart-Market-Basket-Analysis

Used association ruling to find out which products were frequently bought together. Aim is to drive higher sales volume and customer retention.
R
4
star
5

LTA-Mobility-Sensing-Project

Location information about commuter activities is vital for planning for travel disruptions and infrastructural development. The Mobility Sensing Project aims to find innovative and novel ways to identify travel patterns from GPS data and other multi-sensory data collected in smartphones. This will be transformative to provide personalised travel information.
Jupyter Notebook
3
star
6

Anomaly-Detection-for-Condition-Monitoring

Condition monitoring of electrical assets are vital to prevent a developing fault from going unnoticed. This project aims to build anomaly detection models to identify significant changes in asset conditions and allow the operators to conduct timely maintenance.
Jupyter Notebook
2
star
7

IBM-HR-Analytics

Leverage external data and non-traditional methods to accurately assess and shortlist candidates with the relevant skillsets, experience and psycho-emotional traits, and match them with relevant job openings to drive operational efficiency and improve accuracy in the matching process
R
2
star
8

Designing-and-Developing-Databases-National-Fitness-Challenge

Design and develop a database solution to store information about their national fitness challenge, which is facilitated through the mobile app โ€œFitness 365โ€
JavaScript
1
star
9

AB-Testing-with-Chi-Squared-Test-to-Maximize-Conversions-and-CTRs

Conducted a chi-squared test to check the validity of A/B test for a new webpage in increasing conversions and click-through rates
Python
1
star
10

HackerRank

SQL/Python Practice https://www.hackerrank.com/
Python
1
star
11

Gender_Discrimination

Analyze whether female faculty at the school were less likely to be full professors, more likely to be assistant professors, and earn less money than men, on average.
R
1
star