wmlba / Fraud_Detection_Techniques
☆78Updated 4 years ago
Alternatives and similar repositories for Fraud_Detection_Techniques
Users that are interested in Fraud_Detection_Techniques are comparing it to the libraries listed below
Sorting:
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆104Updated 2 years ago
- Analytics Vidhya Hackathons and Others☆26Updated 4 years ago
- Machine Learning and Data Analysis Case Studies using Spark.☆72Updated 4 years ago
- ☆136Updated 6 years ago
- Project work for Udacity's AB Testing Course☆82Updated 8 years ago
- L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya☆54Updated 6 years ago
- ☆63Updated 6 years ago
- ☆28Updated 6 years ago
- Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng☆51Updated 7 years ago
- Lending Club Loan data analysis☆164Updated 5 years ago
- Udacity Data Science Nanodegree Repository. Contains lecture notes, and dummy scripts as well as projects undertaken for the nanodegree.☆30Updated 5 years ago
- Data Science Take Home Challenges☆12Updated 6 years ago
- TPOT Sample☆27Updated 5 years ago
- Solutions to the book "Collection of Data Science TakeHome Challenges" in Python.☆10Updated 7 years ago
- ☆112Updated 7 years ago
- This playlist covers model deployment covered as part of course in YouTube - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5PlN1jwOB3…☆100Updated 4 years ago
- A Placeholder of all the scripts & notebooks which I'll be using for GA Sessions☆30Updated 5 years ago
- Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019☆81Updated 5 years ago
- Deploying a simple machine learning model to an AWS ec2 instance using flask and docker.☆81Updated 6 years ago
- A curated list of repositories for my book Machine Learning Solutions.☆78Updated 6 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- Tuning XGBoost hyper-parameters with Simulated Annealing☆52Updated 8 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated 4 months ago
- Generic codes related to NLP☆85Updated 6 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated 10 months ago
- Getting start with PySpark and MLlib☆297Updated 7 years ago
- Churn Prediction with PySpark using MLlib and ML Packages☆56Updated 9 years ago
- Learn Machine Learning using PySpark from scratch☆19Updated 6 years ago
- Kaggle Toxic Comments Challenge☆109Updated 6 years ago
- Content for Applied ML Workshop @ DataHack Summit 2019☆25Updated 5 years ago