Alternatives and similar repositories for Insurance-claim-prediction

Users that are interested in Insurance-claim-prediction are comparing it to the libraries listed below

• LiXiling / ml_insurancePred
  Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project
  ☆16Updated 8 years ago
• bhattbhavesh91 / multicollinearity_detection
  Small example on how you can detect multicollinearity
  ☆13Updated 4 years ago
• tirthajyoti / TensorFlow_Basics
  Basic TensorFlow mechanics, operations, class definitions, and neural networks building. Examples from deeplearning.ai Tensorflow course …
  ☆35Updated 6 years ago
• xcitech / ml-flask-tutorial
  A tutorial to create python based prediction web app
  ☆30Updated 5 years ago
• xcitech / insurance_ML_model
  Machine Learning based model to predict Insurance Pure Premium
  ☆12Updated 8 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.
  ☆48Updated 7 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆28Updated 7 years ago
• rnditdev / PyData_London_2018_Computer_Vision
  These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018
  ☆30Updated 7 years ago
• ritchieng / machine-learning-dataschool
  Detailed notes and code to learn the basics of machine learning with scikit-learn.
  ☆35Updated 9 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆30Updated 8 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆104Updated 6 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 6 years ago
• FavioVazquez / ODSC_India_2018
  My presentation at ODSC India 2018 about Deep Learning with Apache Spark
  ☆27Updated 7 years ago
• a-djebali / flask-machine-learning-resful
  Build a flask app to server a machine learning model as a RESTful web service
  ☆38Updated 7 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• dipanjanS / feature_engineering_session_dhs18
  Contains code and presentation for my interactive hack session, 'Effective Feature Engineering: A Structured Approach to Building Better …
  ☆30Updated 4 years ago
• beckernick / music_recommender
  Music Recommendations with Collaborative Filtering and Cosine Distance
  ☆39Updated 9 years ago
• jalajthanaki / Awesome_Machine_Learning_Solutions
  A curated list of repositories for my book Machine Learning Solutions.
  ☆80Updated 7 years ago
• Sangarshanan / time-series-forecasting
  Understanding time series forecasting
  ☆65Updated 5 years ago
• analyticsvidhya / LordOftheMachines
  Codes related to Lord of the Machines hackathon
  ☆10Updated 7 years ago
• drivendataorg / power-laws-cold-start
  ☆24Updated 2 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• Dataweekends / python_libraries_for_ml_and_dl
  Introduction to Pandas, Scikit-Learn and Keras
  ☆13Updated 6 years ago
• harshitahluwalia7895 / Loan_Prediction
  ☆21Updated 6 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆58Updated 7 years ago
• AlexIoannides / ml-workflow-automation
  Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…
  ☆64Updated 2 years ago
• pawangeek / Competitions-ML
  My competitions approach
  ☆18Updated 3 years ago
• ahmedbesbes / Understanding-deep-Convolutional-Neural-Networks-with-a-practical-use-case-in-Tensorflow-and-Keras
  What makes convnets so powerful at image classification?
  ☆46Updated 7 years ago
• ritikabhasker / Intro-to-EDA
  Workshop and lesson on Exploratory Data Analysis
  ☆12Updated 6 months ago