aaxwaz / Fraud-detection-using-deep-learning
☆113Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for Fraud-detection-using-deep-learning
- Fraud Detection using ensemble of Statistical, Network analysis and Machine learning approach.☆67Updated 9 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆152Updated 6 years ago
- greedy feature selection based on ROC AUC☆125Updated 10 years ago
- Solution to the Outbrain Click Prediction competition☆146Updated 7 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 7 years ago
- Credit card fraud detection through logistic regression, k-means, and deep learning.☆218Updated 6 years ago
- Demand Forecasting Models for Kaggle competition☆80Updated 6 years ago
- iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transaction…☆525Updated 5 years ago
- Materials for an online-course - "Practical XGBoost in Python"☆217Updated 8 years ago
- ☆77Updated 8 years ago
- Generic codes related to NLP☆84Updated 6 years ago
- 2nd Place Solution for Kaggle Porto Seguro's Safe Driver Prediction☆157Updated 5 years ago
- Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial☆22Updated 7 years ago
- environment setup for strata conference 2018☆68Updated 6 years ago
- How to predict credit defaulting?☆94Updated 5 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated last year
- Churn Prediction with PySpark using MLlib and ML Packages☆56Updated 8 years ago
- Kaggle Competition notebooks☆33Updated 5 years ago
- A compiled list of kaggle competitions and their winning solutions for sequence problems.☆35Updated 8 years ago
- Builds a recommender system using TensorFlow☆86Updated 7 years ago
- This is the native Python implementation of CPT(compact Prediction Tree)☆79Updated 6 years ago
- **Under construction**☆30Updated 6 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆10Updated 7 years ago
- Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.☆92Updated 7 years ago
- Solution to Corporación Favorita Grocery Sales Forecasting Competition☆28Updated 6 years ago
- A set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.☆82Updated 7 years ago
- Fraud Detection model build with Python (numpy, scipy, pandas, scikit-learn), based on anonymized credit card transactions. The dataset i…☆56Updated 2 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆145Updated 8 years ago
- Solution to Kaggle's Mercari Price Suggestion Competition☆23Updated 6 years ago
- Model for the Event Recommendation Engine Challenge on Kaggle.com☆44Updated 11 years ago