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-data-science-nigeria-2019-challenge-1-insurance-prediction-axamansard-insurance-hackathon

Recently, there has been an increase in the number of building collapse in Lagos and major cities in Nigeria. Olusola Insurance Company offers a building insurance policy that protects buildings against damages that could be caused by a fire or vandalism, by a flood or storm. You have been appointed as the Lead Data Analyst to build a predictive model to determine if a building will have an insurance claim during a certain period or not. You will have to predict the probability of having at least one claim over the insured period of the building. The model will be based on the building characteristics. The target variable, Claim, is a: 1 if the building has at least a claim over the insured period. 0 if the building doesn’t have a claim over the insured period.

acv00

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

ai_supply_chain

This is the code for "AI for Supply Chain" by Siraj Raval on Youtube

allstateinsurance

How severe is an insurance claim?

alzheimers_disease_analysis

This repo contains a data science project to identify patients at high-risk of Alzheimer's disease.

anomaly-detection

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

applied-machine-learning-explainability-techniques

Applied Machine Learning Explainability Techniques, published by Packt

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome

😎 Awesome lists about all kinds of interesting topics

awesome-adtech

😎An awesome list of awesome adtech things curated by the community.

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

azure_fundamentals

Here we post our resumes and resources about Azure fundamentals

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

build-your-own-x

🤓 Build your own (insert technology here)

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

class_notebooks

Notebooks used in ML2 sessions

code_snippets

coding-interview-university

A complete computer science study plan to become a software engineer.

costsensitiveclassification

CostSensitiveClassification Library in Python

credit-risk-analysis

This is a project to analysis a risk of customer credit data through clustering algorithm to cluster the data to good credit risk or bad credit risk and calculating total credit score through credit scorecard analysis. The chosen customer is the data which contain Good Credit Risk label and Accepted Label

creditriskcscorecard

credit risk score card develop by python(version 3.6)

data

Data and code behind the articles and graphics at FiveThirtyEight

data-science--cheat-sheet

Cheat Sheets

data-science-interview-resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

data-science-portfolio

This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.

data-visualization

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program; Data Visualization Course.

data_1

datascience-fails

Collection of articles listing reasons why data science projects fail.