Pinned Repositories
ai4ess-hackathon-2020
ams-ml-python-course
Machine Learning in Python for Environmental Science Problems AMS Short Course Material
approachingalmost
Approaching (Almost) Any Machine Learning Problem
Binary-Classification-Mines-vs.-Rocks
This is the code for "Binary Classification using Keras Sequential, Functional and Model Subclassing" By M.Junaid Fiaz
cira_uq4ml
Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
classification-python
This repository contains projects done by some of classification techniques. Python.
climate-data-science
Climate Data Science and Earth Observation with Python.
climate-viz
Generating charts and animations for climate change data (GISTEMP v4), with the xarray and cartopy Python libraries.
co2-forecasting
Forecasting Atmospheric CO2 Concentration with Classical and Machine Learning Models.
connect-earth
Data science task for Connect Earth
sandupal's Repositories
sandupal/ai4ess-hackathon-2020
sandupal/approachingalmost
Approaching (Almost) Any Machine Learning Problem
sandupal/cira_uq4ml
Uncertainty quantification for machine learning at Cooperative Institute for Research in the Atmosphere
sandupal/climate-data-science
Climate Data Science and Earth Observation with Python.
sandupal/climate-viz
Generating charts and animations for climate change data (GISTEMP v4), with the xarray and cartopy Python libraries.
sandupal/co2-forecasting
Forecasting Atmospheric CO2 Concentration with Classical and Machine Learning Models.
sandupal/connect-earth
Data science task for Connect Earth
sandupal/Data-Science-Educational-Resoruces
Data science resources
sandupal/DeadSimplePython
sandupal/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
sandupal/earth-science-community-ML-tutorials
ESIP Lab 2021 – Cloud-based Open Science Machine Learning Tutorials for Earth Science
sandupal/FeatureImportance
Code for "Permutation Feature Importance for ML Interpretability from Scratch"
sandupal/ML-For-Beginners
12 weeks, 25 lessons, 50 quizzes, classic Machine Learning for all
sandupal/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
sandupal/precourse
A repo for the pre-course work at home exercises
sandupal/python-cartopy
python cartopy maps
sandupal/python_for_geosciences
Introduction to python use in geosciences.
sandupal/python_tutorial
sandupal/renewcast
Renewcast: forecasting renewable energy generation in EU countries with machine learning algorithms, based on Streamlit and sktime.
sandupal/scikit-learn
scikit-learn: machine learning in Python
sandupal/shap
A game theoretic approach to explain the output of any machine learning model.
sandupal/sklearn-xarray
Metadata-aware machine learning.
sandupal/spatial_analysis
spatial analysis of Boston crime data
sandupal/tai4es-trustathon-2022
Trust-A-Thon materials for the Trustworthy AI for Environmental Science Summer School
sandupal/teaching_examples
example notebooks
sandupal/torchgeo
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
sandupal/ts-forecasting
Time Series Forecasting on Solar Irradiance Data with Classical and Machine Learning Models.
sandupal/WAF_ML_Tutorial_Part1
Python code to assist in familiarizing meteorologists with machine learning
sandupal/WeatherBench
A benchmark dataset for data-driven weather forecasting
sandupal/wind-power-forecasting
Forecasting wind park energy production, by using machine learning and deep learning algorithms.