xcitech / insurance_ML_model
Machine Learning based model to predict Insurance Pure Premium
☆12Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for insurance_ML_model
- Prediction of "left/stayed" employees using Decision Trees and more☆10Updated 6 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 7 years ago
- A machine learning algorithm written to predict severity of insurance claim☆19Updated 7 years ago
- Automate claim approval in personal insurance sector.☆19Updated 8 years ago
- AutoWeka for python☆11Updated 10 years ago
- Why are our best and most experienced employees leaving prematurely?☆12Updated 7 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 3 years ago
- Slides, code and more for my class: Data Analytics and Machine Learning on Big Data☆8Updated 6 years ago
- Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017☆12Updated 7 years ago
- Predict why are our best and most experienced employees leaving prematurely? using machine learning.☆20Updated 7 years ago
- Minimum Entropy is a DDL hosted question/answer site for beginners who need answers to Data Science questions.☆16Updated 8 years ago
- Insurance Claim Prediction using Machine Learning - Udacity Nanodegree Capstone Project☆14Updated 8 years ago
- Trying to apply deep learning to music analysis☆12Updated 7 years ago
- Data mining algorithms with Python☆10Updated 5 years ago
- NLP tutorials I have written using TensorFlow☆12Updated 5 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and ANOVA, Correlation and Regression analysis, Data standardisation and F…☆10Updated 7 years ago
- GAN in Tensorflow to be run via Linux command line☆22Updated 6 years ago
- Webscikit is a set of tools to run a webserver as a JSON Webservice for scikit-learn predictions. It comes with two examples: boston and …☆9Updated 6 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- An overview of the Folium library to visualize Geospatial data☆19Updated 6 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- ☆16Updated 8 years ago
- Random jupyter notebooks on data analysis and machine learning☆14Updated 5 years ago
- Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.☆23Updated 4 years ago
- This library is a wrapper for sklearn and works with data stored using Pandas module.☆17Updated 8 years ago
- Language Modelling, CMI vs Perplexity☆11Updated 6 years ago
- ☆10Updated 5 years ago
- Work for Mastering Large Datasets with Python☆18Updated last year