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002_machinelearning_ebook

actuarial_statistics

Project contains multiple smaller subprojects that lie in the domain of non-life insurance actuarial statistics

auto-insurance-churn

bitcoin-prediction-using-sentiment

Predicts Bitcoin price using a sentiment analysis of tweets containing 'bitcoin'.

bitcoin-price-prediction-using-sentiment-analysis

Predicts real-time bitcoin price using twitter and reddit sentiment, and sends out notifications via SMS.

car-damage-detective

Assessing car damage with convolution neural networks for a personal auto claims expedition use case

coursera-deep-learning-specialization

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

cs229_ml

🍟 Stanford CS229: Machine Learning

cvae-claims

Individual Claims Forecasting with Structured Generative Models

data_science_delivered

Observations from Ian on successfully delivering data science products

datascienceinterview

Interview stuff for friends

datascienceprojects

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.

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deeplearning-models

A collection of various deep learning architectures, models, and tips

deeptriangle

DeepTriangle: A Deep Learning Approach to Loss Reserving

econometrics

Study Course

frauddetection

Data Anomaly and Fraud Detection with Python and R

fullstack.ai

End-to-end machine learning project showing key aspects of developing and deploying ML driven application

imgrecognition

Image Recognition Program used for Report "Image Recognition for Insurance" sponsored by the SOA

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

insurance-econometrics

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.

interpretable-ml-book

Book about interpretable machine learning

intro-to-dl

Resources for "Introduction to Deep Learning" course.

kaggle-allstate-solution

My solution of Kaggle competition - Allstate Claims Severity

kaust_cs229_machinelearning

KAUST CS 229 Assignment Solutions

machine-learning-concepts

Machine Learning Concepts with Concepts

machine-learning-decal-spring-2019

A 2-unit decal run by ML@B's education team

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machine-learning-yearning

Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

mediumarticles

Sample of Python codes from mathematical problems