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Islander's Projects

2018 icon 2018

Course materials for the 2018 version of the Automating GIS processes -course at the University of Helsinki, Finland

3d-point-cloud-processing icon 3d-point-cloud-processing

Master MVA, ENS Cachan, France: 3D Point Cloud Processing. Implementation of the research article "Segmentation Based Classification of 3D Urban Point Clouds". Very large data processing techniques using kdtree (scikit-learn API), feature computations on 3D points cloud. (Python, Scikit-Learrn))

alltheplaces icon alltheplaces

A set of spiders and scrapers to extract location information from places that post their location on the internet.

amazon-fine-food-reviews-analysis icon amazon-fine-food-reviews-analysis

This repository contains a series of experiments performed on the Amazon Reviews dataset. This includes data visualization techniques like PCA and T-SNE. It also includes curating, de-duping and cleaning the dataset to perform a series of NLP related tasks. You will learn about a series of models which includes KNN, Naive Bayes, Logistic Regression, SVMs, Decision Trees, GBDTs, XGBoosts, Random Forests etc. You weill also learn about applying clustering techniques like KMeans, Agglomerative clustering and DBSCAN. You will further learn about Matrix Factorization usng Truncated SVD followed by KMeans clustering.

annoy icon annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

articles icon articles

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

artline icon artline

A Deep Learning based project for creating line art portraits.

awesome-earthobservation-code icon awesome-earthobservation-code

curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!

basic-needs-basic-rights-kenya-tech4mental-health icon basic-needs-basic-rights-kenya-tech4mental-health

Around 1 in 4 people will experience a mental health problem this year. Low-income countries have an estimated treatment gap of 85% (as compared with high-income countries with a gap of 35% to 50%). While Kenya has a mental illness prevalence rate that is comparable to that of high-income countries, there are still less than 500 healthcare professionals serving the country. In Kenya, there are growing concerns about mental health among young people, particularly university students that face a challenging and unique conflation of stressors that put them at risk of challenges like depression and substance abuse. From the use of app-based solutions for screening to electronically delivered therapies, the use of technologies including machine learning and AI will potentially transform the delivery of mental health services in the coming years. The objective of this challenge is to develop a machine learning model that classifies statements and questions expressed by university students in Kenya when speaking about the mental health challenges they struggle with. The four categories are depression, suicide, alchoholism, and drug abuse. This solution will be used for a prototype of a mental health chatbot designed specifically for university students. This initiative is a first step in leveraging technology to make mental health services more accessible and more user-friendly for young people in Kenya and around the world

carto_sdsc23 icon carto_sdsc23

workshop on spatial data science with PySAL @ CARTO SDSC23

chatgpt icon chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

cloacina icon cloacina

Tools for downloading from the LexisNexis API

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