thinhuos0913/credit_card_fraud_detection thinhuos0913/credit_card_fraud_detection

  • Stars
    star
    3
  • Rank 3,963,521 (Top 79 %)
  • Language
    Jupyter Notebook
  • Created about 2 years ago
  • Updated 6 months ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
thinhuos0913/credit_card_fraud_detection
github

thinhuos0913

Reviews

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

Repository Details

Implement machine learning models which are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase.

More Repositories

1

coursera_machine_learning

Programming Assignments of Machine Learning algorithms: Supervised Learning (Linear Regression, Logistic Regression, Neural Networks, Support Vector Machines), Unsupervised Learning (K-Means Clustering, Principal Components Analysis, Dimensional Reduction, Recommendation System), Machine Learning Advice (Bias/Variance Diagnosis, Regularization, Hyper-parameter Tuning), Anomaly Detection.
MATLAB
4
star
2

google_image_scraping

Download image from google
Python
3
star
3

fashion_color_classification

Build a model that classifies product fashion but also predicts product color at the same time.
Jupyter Notebook
3
star
4

data_augmentation

Data Augmentation using Python and OpenCV
Python
3
star
5

sales_insights

Sales insights data analysis using Power BI and SQL
TSQL
3
star
6

tweet-emotion-recognition

Build a recurrent neural network and train it on a tweet emotion dataset to learn to recognize emotions in tweets.
Jupyter Notebook
3
star
7

image-segmentation

Jupyter Notebook
3
star
8

python_useful_mini_projects

This is some useful mini projects that I had worked for self-learning Python programming.
Python
3
star
9

Uber_Lyft_price_prediction

This is a very interesting project, this dataset contains a lot of NA values and many features to do exploratory analysis task. It's good if you use machine learning to build predictive models for Uber/Lyft price prediction
Jupyter Notebook
3
star
10

neural_network_coding

Building a deep neural network and apply to image classification problem.
Jupyter Notebook
3
star
11

customer_personality_analysis

Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments.
Jupyter Notebook
3
star
12

covid19_data_exploration

Use SQL Server and Power BI to explore global COVID 19 data.
TSQL
3
star
13

thinhuos0913.github.io

CSS
2
star