Alternatives and similar repositories for Fraud_Detection_Techniques

Users that are interested in Fraud_Detection_Techniques are comparing it to the libraries listed below

• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆143Updated 5 years ago
• groverpr / Machine-Learning
  Notes for machine learning
  ☆219Updated 2 years ago
• dipanjanS / data_science_for_all
  Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
  ☆211Updated 5 years ago
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆55Updated 6 years ago
• susanli2016 / PySpark-and-MLlib
  Getting start with PySpark and MLlib
  ☆297Updated 7 years ago
• mervynlee94 / Advance-Machine-Learning
  ☆85Updated 7 years ago
• mnguyenngo / flask-rest-setup
  Notes on Flask REST API and tutorial
  ☆148Updated 6 years ago
• aprilypchen / depy2016
  ☆110Updated 9 years ago
• anindya-saha / Data-Science-with-Spark
  Machine Learning and Data Analysis Case Studies using Spark.
  ☆72Updated 4 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆83Updated 8 years ago
• KevinLiao159 / MyDataSciencePortfolio
  Applying Data Science and Machine Learning to Solve Real World Business Problems
  ☆404Updated 5 years ago
• Mooseburger1 / Springboard-Data-Science-Immersive
  ☆63Updated 6 years ago
• Sundar0989 / WOE-and-IV
  ☆136Updated 6 years ago
• alteryx / predict-customer-churn
  A general-purpose framework for solving problems with machine learning applied to predicting customer churn
  ☆414Updated last year
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 6 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆213Updated 6 years ago
• huynhe / Data-Science-Take-Home-Challenges-Collection
  Data Science Take Home Challenges
  ☆12Updated 6 years ago
• aaxwaz / Fraud-detection-using-deep-learning
  ☆113Updated 7 years ago
• rounakbanik / movies
  Second Springboard Capstone Project: A Movie Recommender
  ☆86Updated 7 years ago
• legolas140 / competitive-data-science-1
  How to Win a Data Science Competition: Learn from Top Kagglers
  ☆174Updated 7 years ago
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 5 years ago
• yanneta / pytorch-tutorials
  ☆241Updated 2 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆56Updated 6 years ago
• joshxinjie / Data_Scientist_Nanodegree
  ☆77Updated 6 years ago
• andfanilo / pyspark-tutorial
  Jupyter notebooks for pyspark tutorials given at University
  ☆108Updated 3 weeks ago
• davidyakobovitch / data_science_resources
  📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
  ☆160Updated 2 years ago
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆51Updated 7 years ago
• PacktPublishing / Hands-On-Recommendation-Systems-with-Python
  Hands-On Recommendation Systems with Python published by Packt
  ☆264Updated 2 years ago
• words-sdsc / coursera
  Data sets and scripts for Coursera Big Data Specialization.
  ☆167Updated last year
• WillKoehrsen / Hands-On-Machine-Learning
  Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
  ☆88Updated 2 years ago