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admission_prediction

Admission prediction using Linear Regression and Random Forest.

agu2019

Poster about PyGMT presented at AGU2019

ai-for-climate-change

a collection of Jupyter notebooks and associated code that covers the fundamental concepts of deep learning and its application to climate change problems. This repository contains a range of materials to help you understand the basics of deep learning and its practical implementation using TensorFlow.

ai-sklearn

Decision Tree, KNeighbors, Logistic Regression, Random Forests, Bagging, Voting

airbnb_nyc

Regression tasks using Decision Tree Regressor, Random Forest Regressor, Stochastic Gradient Boosting, K-mean Clustering, and more

ats655-coursematerial

Course material for ATS 655: Objective Analysis with Prof. Elizabeth Barnes, Dept. of Atmospheric Science, Colorado State University.

ats_655

Objective Analysis in Atmospheric Science. Topics: Basic probability and statistics, linear regression, spectral analysis, principle component analysis, etc., Instructor: Professor Elizabeth Barnes [CSU].

audit-risk-prediction-for-a-financial-firm

Audit risk analysis using multiple firms' historical data using Regression algorithms like KNN, Kernelized SVM, Decision Tree, Random Forest etc.

auto-mpg-by-mlp-regression-tree-regression-random-forests

Final project

besttracks

A unified interface to access tropical cyclone best-track datasets in different formats.

ccdr-tools

Geoanalytics for climate and disaster risk screening

cip_drought_impact

climate-displacement

climate-stats-notebooks

climate_data_download

climate_extremes

Análise de dados sobre Eventos Extremos Climáticos

climateriskdisclosure

climattr

Rapid climate extreme event attribution for regional and local areas

cmip6-worldclim-handling

CMIP6 climate data extraction and treatment by multi-polygon shapefile using ESGF NetCDF and WORLDCLIM datasets

course-content

course-geospatial-data-r

Repositório da disciplina de Introdução ao uso de dados geoespaciais no R

course_climate_risk_assessment

curso-de-python-para-estudos-climaticos

Notebooks, scripts e dados sobre analises em Python 3 com foco em estudos climáticos.

dados---bdmep

Analise realizada com os dados disponibilizados pelo INMET - BDMEP

dados-geoespaciais-geopandas

Manipulação de dados geoespaciais com GeoPandas

dadosclimaticos

Extração dos dados climáticos públicos do INMET.

data_science_salary_estimator

Prediction of data scientists salary , Gradient Boost regression, Random Forest regression, Lasso regression

datascience_project

Project for prediction of immigrant displacement in South Sudan

datascience_repo-beta-

Notebooks para comenzar desde cero en data science (en español)

dengue_release

Predicting Dengue outbreaks in Brazil with manifold learning on climate data