roman807 / Fraud-Detection

Related projects: ⓘ

• skg01 / Competition
  ☆9Updated 5 years ago
• shravankoninti / AV
  Analytics Vidhya Hackathons and Others
  ☆26Updated 4 years ago
• jimmycy93 / Credit-Card-Fraud-Detection
  A project on machine learning techniques dealing with imbalanced classification (Python)
  ☆9Updated 6 years ago
• yanxiali / Predicting-Default-Clients-of-Lending-Club-Loans
  ☆28Updated 6 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆51Updated 4 years ago
• rajat5ranjan / AV-LTFS-Data-Science-FinHack-ML-Hackathon
  L&T Financial Services & Analytics Vidhya presents ‘DataScience FinHack’ organised by Analytics Vidhya
  ☆54Updated 5 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆27Updated 6 years ago
• edyoda / machine-learning-using-pyspark
  Learn Machine Learning using PySpark from scratch
  ☆19Updated 5 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆57Updated 5 years ago
• optiflow / rfm-customer-segmentation
  Unsupervised Clustering on Online Retail Dataset
  ☆31Updated 5 years ago
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆34Updated 6 years ago
• poornagurram / TimeSeriesAnalysis_ODSC_2019
  Resources for Data Science Kick Starter Workshop at ODSC India 2019
  ☆20Updated 4 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆16Updated 7 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆78Updated 7 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆41Updated last year
• susanli2016 / Deep-Learning-with-deeplearning.ai
  Program assignments for the Deep Learning Specialization at Coursera by Andrew Ng
  ☆50Updated 7 years ago
• harshitahluwalia7895 / Loan_Prediction
  ☆21Updated 5 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆51Updated 7 years ago
• tusharsircar95 / Data-Science-Hackathons-Analytics-Vidhya
  Sharing my solutions to data science hackathons conducted by Analytics Vidhya
  ☆10Updated 6 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆45Updated 6 years ago
• PacktPublishing / Ensemble-Machine-Learning-Cookbook
  Ensemble Machine Learning Cookbook, published by Packt
  ☆56Updated last year
• WillKoehrsen / kaggle-automated-feature-engineering
  Applying automated feature engineering to the Kaggle Home Credit Default Risk Competition
  ☆18Updated 6 years ago
• brynmwangy / Beginner-Guide-to-Automated-Feature-Engineering-With-Deep-Feature-Synthesis.
  This is a comprehensive guide on how you can automate your feature engineering process.
  ☆11Updated 6 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆102Updated 4 years ago
• huynhe / Data-Science-Take-Home-Challenges-Collection
  Data Science Take Home Challenges
  ☆12Updated 6 years ago
• wmlba / Fraud_Detection_Techniques
  ☆78Updated 4 years ago
• eswarchandt / Machine-Learning-Algorithms-with-Pyspark
  In this Complete process in machine learning is discussed and done with pyspark .
  ☆18Updated 4 years ago
• jgcorliss / lending-club
  Applying machine learning to predict loan charge-offs on LendingClub.com
  ☆42Updated 6 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆24Updated 3 years ago
• Sundar0989 / Variable-Selection-Using-Python
  ☆26Updated 4 years ago