Madaar49
A WatEnv professional with an interest in Computation, Data science and Geospatial analytics in environmental and Geoscience tasks.
TU Darmstadt / HLNUGGermany
Pinned Repositories
3D-modelling-with-python
3D visualization and modelling with different packages
Applied-Geospatial-Data-Science-with-Python
Applied Geospatial Data Science with Python, published by Packt
Authorship-patterns-groundwater-africa
Interactive web maps for easy visualization of the published research
CAST
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Comparing-LULC
Data Analysis of Wash Data
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Data-Science-1.TU_Darmstadt_final_project
Predicting the Ambient Temperature (AP) of a Combined cycle power plant CCCP using Machine Learning
DATA_STRUCTURES
Scripts overviewing data structures in Java, PHP, Python, R, SAS, and VBA
Datasets
A collection of datasets
github-profile-readme-generator
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
Madaar49's Repositories
Madaar49/3D-modelling-with-python
3D visualization and modelling with different packages
Madaar49/Applied-Geospatial-Data-Science-with-Python
Applied Geospatial Data Science with Python, published by Packt
Madaar49/Authorship-patterns-groundwater-africa
Interactive web maps for easy visualization of the published research
Madaar49/CAST
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Madaar49/Comparing-LULC
Data Analysis of Wash Data
Madaar49/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Madaar49/Data-Science-1.TU_Darmstadt_final_project
Predicting the Ambient Temperature (AP) of a Combined cycle power plant CCCP using Machine Learning
Madaar49/github-profile-readme-generator
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
Madaar49/gstools-transform22-tutorial
Resources for the Transform22 tutorial
Madaar49/HLNUG-word-highlighter
An app that highlights word from a document
Madaar49/karachi-pakistan-weather-prediction
Weather prediction using Machine Learning
Madaar49/Machine-Learning-with-R-Fourth-Edition
Machine Learning with R, Fourth Edition- published by Packt
Madaar49/Madaar49
Madaar49/HydroChemPy
A python web app for hydrochemical computation, data cleaning and plots
Madaar49/Hydrogeology_Research-Africa
Supplementary sheet for **Authorship patterns in Africa's groundwater literature: Indications for helicopter research?**
Madaar49/Mapping-with-leaflet
Madaar49/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
Madaar49/Papers-Literature-ML-DL-RL-AI
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Madaar49/project-walkthroughs
Data science, machine learning, and web development project code for https://www.youtube.com/c/Dataquestio .
Madaar49/pygeohydro
A part of HyRiver software stack for accessing hydrology data through web services
Madaar49/Pyspatialml
Machine learning modelling for spatial data
Madaar49/Python-Hydrology-Tools
:droplet: This repository holds a list of open source Python packages interesting to Hydrologists
Madaar49/python-resources-for-earth-sciences
A Curated List of Python Resources for Earth Sciences
Madaar49/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
Madaar49/ScraperFC
Python package for scraping soccer data from a variety of sources
Madaar49/segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
Madaar49/streamlit-geospatial
A multi-page streamlit app for geospatial
Madaar49/WASH-survey-Data-Analysis-needs-assessment-
Analysis of Wash Data Sierra Leone
Madaar49/watershed-workflow
Python workflows for data-rich, hyper-resolution simulations of hydrologic models on watersheds.
Madaar49/workbook-app