MarangMutloatse's Projects
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 doesnβt have a claim over the insured period.
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 (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
This is the code for "AI for Supply Chain" by Siraj Raval on Youtube
How severe is an insurance claim?
This repo contains a data science project to identify patients at high-risk of Alzheimer's disease.
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
Applied Machine Learning Explainability Techniques, published by Packt
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
π Awesome lists about all kinds of interesting topics
πAn awesome list of awesome adtech things curated by the community.
A curated list of awesome anomaly detection resources
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Here we post our resumes and resources about Azure fundamentals
π A ranked list of awesome machine learning Python libraries. Updated weekly.
π€ Build your own (insert technology here)
Python code for part 2 of the book Causal Inference: What If, by Miguel HernΓ‘n and James Robins
Notebooks used in ML2 sessions
A complete computer science study plan to become a software engineer.
CostSensitiveClassification Library in Python
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
credit risk score card develop by python(version 3.6)
Data and code behind the articles and graphics at FiveThirtyEight
Cheat Sheets
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
This portfolio is a compilation of notebooks which I created for Data Science related tasks like Tutorials, Exploratory Data Analysis, and Machine Learning.
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program; Data Visualization Course.
Collection of articles listing reasons why data science projects fail.