travel-code-sleep/Predict-Financial-Fraud-Using-Email-Text-and-Accounting-Data travel-code-sleep/Predict-Financial-Fraud-Using-Email-Text-and-Accounting-Data

  • Stars
    star
    1
  • Language
    Jupyter Notebook
  • Created about 6 years ago
  • Updated about 6 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
travel-code-sleep/Predict-Financial-Fraud-Using-Email-Text-and-Accounting-Data
github

travel-code-sleep

Reviews

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

Repository Details

In this research project, I aim to offer a machine learning based tool to detect fraudulent behavior in large organizations by studying emails and accounting data of suspected employees.

More Repositories

1

time-series-forecasting-and-erc20-workshop

This repo contains materials for time series forecasting, clustering, supervised methods for time, and ethereum erc20 token workshop.
Jupyter Notebook
4
star
2

Customer-Segmentation-Analysis-on-UK-eRetail

Goal of this project is to understand customer base of a retail establishment using exploratory data analysis, visualization, RMF Values and KMeans Clustering.
Jupyter Notebook
2
star
3

Reinforcement-Learning-Using-UCB-and-Thompson-Sampling

Find the best advertisement to show on multiple websites while still exploring different Ad options. Save time and money that would have to multiple AB testing. Start getting rewards early.
Jupyter Notebook
1
star
4

Analytics_Workshop

Jupyter Notebook
1
star
5

Social-Media-Ad-Targeting-Using-Classification

Usring varities of classifciation techniqe determine the best set of users to target on social medai with meaningful Ads that will ulitmately conver to a successfult sell.
Jupyter Notebook
1
star
6

SimpleEfficientKeywords

SeKeyword: a simple efficient cocktail of keyword extraction algorithms to generate high quality multi-document keywords fast and handsfree.
Python
1
star