Pinned Repositories
2018
Course materials for the 2018 version of the Automating GIS processes -course at the University of Helsinki, Finland
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))
geosocial_analysis
List of python-based tools that can be used for working with and analyzing geosocial data (e.g. Twitter)
Getting_to_know_Python_Final
Training material for working with ArcPy with ArcGIS Desktop 10x
Remote_sensing
Remote sensing related lectures and tutorials
useful_commands
Contains everyday useful python commands
rsmahabir's Repositories
rsmahabir/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
rsmahabir/articles
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
rsmahabir/awesome-community-detection
A curated list of community detection research papers with implementations.
rsmahabir/awesome-coronavirus
🦠Useful projects and resources for COVID-19 (2019 novel Coronavirus)
rsmahabir/awesome-earthobservation-code
curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
rsmahabir/awesome-twitter-data
A list of Twitter datasets and related resources.
rsmahabir/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
rsmahabir/calfire-wildfires
Download wildfires data from CalFire
rsmahabir/CBE30338
Chemical Process Control
rsmahabir/COVID19_Tweets_Dataset
rsmahabir/data-science-foundations
rsmahabir/geoplotlib
python toolbox for visualizing geographical data and making maps
rsmahabir/LexisNexisTools
:newspaper: Working with newspaper data from 'LexisNexis'
rsmahabir/mapclassify
Classification schemes for choropleth mapping.
rsmahabir/momepy
Urban Morphology Measuring Toolkit
rsmahabir/movingpandas
Implementation of Trajectory classes and functions built on top of GeoPandas
rsmahabir/osc-tools
Tools to mine data from data from Open Street Cam
rsmahabir/predicting-poverty
Combining satellite imagery and machine learning to predict poverty
rsmahabir/pylandstats-notebooks
Example notebooks of the PyLandStats library
rsmahabir/qiskit-textbook
A university quantum algorithms/computation course supplement based on Qiskit
rsmahabir/rgee
Google Earth Engine for R
rsmahabir/satellite-detect-informal-settlements
rsmahabir/snfpy
Similarity network fusion in Python
rsmahabir/spacy-course
👩🏫 Advanced NLP with spaCy: A free online course
rsmahabir/streetsense
Street Sense: Learning from Google Street View
rsmahabir/text_similarity
Text Similarity
rsmahabir/textbook
The textbook Computational and Inferential Thinking: The Foundations of Data Science
rsmahabir/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
rsmahabir/topic-labeling
The project proposes a framework to apply topic models on a text-corpus and eventually topic labels on the generated topics.
rsmahabir/Using-scispaCy-for-Named-Entity-Recognition
A beginner's guide to using Named-Entity Recognition for data extraction from biomedical literature