Currie32 / Predicting-Credit-Card-Fraud
Used TensorFlow to build a neural network that can predict fraudulent credit card transactions.
☆11Updated 7 years ago
Related projects: ⓘ
- Decision support from financial disclosures with deep neural networks and transfer learning☆39Updated 6 years ago
- Code for Kaggle's Default Loan Prediction - Imperial College London challenge.☆29Updated 10 years ago
- An example of a sentiment analysis program, used on the IMDB movie review dataset. The program uses the Keras deep learning library. Fi…☆23Updated 7 years ago
- Build a deep learning model for sentiment analysis of IMDB reviews☆24Updated 5 years ago
- Baseline Python Scripts for Popular Kaggle Competitions☆17Updated 2 years ago
- Ensemble of ARIMA, prophet and LSTMS RNN☆35Updated 7 years ago
- Ensemble Machine Learning for Time Series: Ensemble of Deep Recurrent Neural Networks and Random forest using a Stacking (averaging) laye…☆33Updated 7 years ago
- Code for the Kaggle competition "Web Traffic Time Series Forecasting"☆13Updated last year
- Quick-Data-Science-Experiments☆19Updated 6 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 7 years ago
- Analysis of credit card fraud data☆64Updated last year
- TalkingData AdTracking Fraud Detection Challenge on Kaggle Competition☆13Updated 5 years ago
- 12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting☆15Updated 6 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 7 years ago
- ☆9Updated 5 years ago
- Containing codes of participation in Kaggle competitions.☆37Updated 8 years ago
- Notes for Data Science 350 Class☆23Updated 7 years ago
- Customer churn analysis using Telco dataset☆23Updated 5 years ago
- Global Energy Forecasting Competition 2012 - Load Forecasting☆18Updated 11 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆12Updated 3 years ago
- My machine learning capstone projects that predicts rental rates and property values in San Francisco using two datasets (Airbnb and SF A…☆31Updated 5 years ago
- Model for the Event Recommendation Engine Challenge on Kaggle.com☆43Updated 11 years ago
- Kaggle Twitter Sentiment Analysis Competition☆18Updated 6 years ago
- *SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach☆22Updated 5 years ago
- Using LSTM network for time series forecasting☆44Updated 7 years ago
- NLP tutorials I have written using TensorFlow☆12Updated 5 years ago
- Pandas integration with sklearn☆21Updated 7 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 8 years ago
- Deep Learning Concepts and Research Paper Implementations.☆17Updated 5 years ago
- An Outlier Detection Project for High Dimensional Data☆15Updated 6 years ago