aaxwaz / Fraud-detection-using-deep-learningLinks
☆113Updated 7 years ago
Alternatives and similar repositories for Fraud-detection-using-deep-learning
Users that are interested in Fraud-detection-using-deep-learning are comparing it to the libraries listed below
Sorting:
- Materials for an online-course - "Practical XGBoost in Python"☆219Updated 8 years ago
- environment setup for strata conference 2018☆67Updated 7 years ago
- greedy feature selection based on ROC AUC☆125Updated 11 years ago
- Churn Prediction with PySpark using MLlib and ML Packages☆57Updated 9 years ago
- Demand Forecasting Models for Kaggle competition☆84Updated 7 years ago
- Generic codes related to NLP☆85Updated 6 years ago
- Anomaly detection algorithm implementation in Python☆130Updated 5 years ago
- Repo for the Deep Learning Nanodegree Foundations program.☆166Updated 7 years ago
- All my experiments with AI and ML☆119Updated 7 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆105Updated 2 years ago
- How to predict credit defaulting?☆93Updated 5 years ago
- Using Imblearn To Tackle Imbalanced Data Sets☆37Updated 8 years ago
- Builds a recommender system using TensorFlow☆86Updated 8 years ago
- Using consecutive (greedy) gridsearch with cross validation to tune xgboost hyperparameters in python.☆92Updated 8 years ago
- Template for Stacking (Stacked Generalization) Ensemble Method☆37Updated 9 years ago
- Code repository for Large Scale Machine Learning with Python, published by Packt☆90Updated 2 years ago
- Kaggle Competition notebooks☆34Updated 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…☆560Updated 6 years ago
- Notes for machine learning☆219Updated 2 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆148Updated 9 years ago
- PyCon SG 2016 - Customer Segmentation in Python☆56Updated 9 years ago
- My solution to Web Traffic Predictions competition on Kaggle.☆153Updated 7 years ago
- Fraud Detection using ensemble of Statistical, Network analysis and Machine learning approach.☆68Updated 10 years ago
- ☆151Updated 7 years ago
- 2nd Place Solution of the Kaggle Competition - Santander Product Recommendation☆176Updated 3 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆53Updated 8 years ago
- This is the native Python implementation of CPT(compact Prediction Tree)☆80Updated 7 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'☆42Updated 3 months ago
- Variational deep autoencoder to predict churn customer☆29Updated 7 years ago