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Project contains multiple smaller subprojects that lie in the domain of non-life insurance actuarial statistics
Predicts Bitcoin price using a sentiment analysis of tweets containing 'bitcoin'.
Predicts real-time bitcoin price using twitter and reddit sentiment, and sends out notifications via SMS.
Assessing car damage with convolution neural networks for a personal auto claims expedition use case
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
🍟 Stanford CS229: Machine Learning
Individual Claims Forecasting with Structured Generative Models
Observations from Ian on successfully delivering data science products
Interview stuff for friends
The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A collection of various deep learning architectures, models, and tips
DeepTriangle: A Deep Learning Approach to Loss Reserving
Study Course
Data Anomaly and Fraud Detection with Python and R
End-to-end machine learning project showing key aspects of developing and deploying ML driven application
Image Recognition Program used for Report "Image Recognition for Insurance" sponsored by the SOA
A curated list of applied machine learning and data science notebooks and libraries across different industries.
Estimate the frequency and severity of claims to compute prior and posterior premiums. The GLM method is used with Poisson, Negative Binomial, Gamma, and Log-Norm Distribution.
Book about interpretable machine learning
Resources for "Introduction to Deep Learning" course.
My solution of Kaggle competition - Allstate Claims Severity
KAUST CS 229 Assignment Solutions
Machine Learning Concepts with Concepts
A 2-unit decal run by ML@B's education team
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖
Sample of Python codes from mathematical problems
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.