Alternatives and similar repositories for credit-scoring-demo:

Users that are interested in credit-scoring-demo are comparing it to the libraries listed below

• enesozi / Credit-Risk-Analysis
  ☆36Updated 6 years ago
• gastonstat / CreditScoring
  Petit example of credit scoring analysis
  ☆131Updated 12 years ago
• xcitech / ml-flask-tutorial
  A tutorial to create python based prediction web app
  ☆30Updated 4 years ago
• rdempsey / pyspark-for-data-processing
  Code for my presentation: Using PySpark to Process Boat Loads of Data
  ☆20Updated 7 years ago
• avannaldas / Loan-Defaulter-Prediction-Machine-Learning
  Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
  ☆61Updated 2 years ago
• ofermend / practical-data-science-with-hadoop-and-spark
  ☆26Updated last year
• 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.
  ☆46Updated 6 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago
• kaz-Anova / Competitive_Dai
  The code to generate a top 20 score in the amazon classification challenge using Driverless AI's predictions and feature engineering : In…
  ☆18Updated 7 years ago
• psu4 / Marketing-Mix-Modeling-
  ☆26Updated 8 years ago
• NawfalTachfine / PredictionAPI
  Tutorial on deploying machine learning models to production
  ☆58Updated 5 years ago
• shabazpatel / xgboost-model-api
  RESTful API hosting xgboost model
  ☆24Updated 7 years ago
• AvinashSingh786 / Fraud-Analysis
  Insurance fraud claims analysis project
  ☆52Updated last year
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 8 years ago
• HackerEarth-Challenges / Future_Datathon
  This is a machine learning challenge conducted by C&D Labs and Future Group in association with HackerEarth.
  ☆10Updated 7 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 5 years ago
• mlandry22 / av-hikeathon
  Analytics Vidhya Hikeathon
  ☆10Updated 5 years ago
• bensadeghi / pyspark-churn-prediction
  Churn Prediction with PySpark using MLlib and ML Packages
  ☆56Updated 9 years ago
• hugopalmer / assortment_optimization
  Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…
  ☆18Updated 7 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• indranildchandra / Money-Laundering-Detector
  Money Laundering Detector is to prove the hypothesis that a solution powered by Machine Learning and Behaviour Analytics will find… -> cu…
  ☆21Updated 6 years ago
• analyticalmonk / KMeans_elbow
  Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
  ☆41Updated last year
• rdempsey / data-analytics-machine-learning-big-data
  Slides, code and more for my class: Data Analytics and Machine Learning on Big Data
  ☆8Updated 7 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 5 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆19Updated 8 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆63Updated last year
• maoting1223 / pycon_sg_2016
  PyCon SG 2016 - Customer Segmentation in Python
  ☆56Updated 8 years ago
• pmservice / ai-openscale-tutorials
  Watson OpenScale tutorials including sample models, notebooks and applications
  ☆22Updated 2 years ago
• susanli2016 / Data-Analysis-with-Python
  Data analysis using numpy, pandas, matplotlib, seaborn, sqlite3, data wrangling
  ☆31Updated 5 years ago