Pinned Repositories
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
To-Explore-Supervised-Machine-Learning
used regression algorithms (linear regression, random forest,svr,decision tree)
francho3's Repositories
francho3/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.
francho3/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].
francho3/CCDR-tools
Geoanalytics for climate and disaster risk screening
francho3/Climate_Extremes
Análise de dados sobre Eventos Extremos Climáticos
francho3/ClimateRiskDisclosure
francho3/climattR
Rapid climate extreme event attribution for regional and local areas
francho3/course-content
francho3/Course_Climate_Risk_Assessment
francho3/Curso-de-Python-para-Estudos-Climaticos
Notebooks, scripts e dados sobre analises em Python 3 com foco em estudos climáticos.
francho3/Dados---BDMEP
Analise realizada com os dados disponibilizados pelo INMET - BDMEP
francho3/dadosClimaticos
Extração dos dados climáticos públicos do INMET.
francho3/ECMWF
Scripts for processing weather forecast data from the ECMWF model.
francho3/ECMWF_forecasts_plotting
Plot the ECMWF forecasts with python and send it to your website
francho3/ENSO-math
francho3/ERA5-Reanalysis
Visualizing ECMWF's ERA5 Reanalysis from both Single and Pressure Levels on hourly basis (These notebooks can be used, accordingly, based on your preference).
francho3/Esta-es-Meteorol-gicas-Download-de-Dados
Mostro como realizar o download dos dados da ANA (00_AnaDados) e utilizar os dados do INMET (01_InmetDados) em formato de banco dados. Além disso para cada um foi avaliado a completude dos dados no estado de Pernambuco no período de 1992-2022.
francho3/GOES_16
Python scripts for processing images from the GOES 16 satellite.
francho3/HANDLING_GEOSPATIAL_DATA
francho3/JuanBazo.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
francho3/NCEP-GFS
Visualizing NCEP/GDAS' FNL Meteorological Dataset, core of GFS Model, at 0.25 x 0.25 degree (These notebooks can be used, accordingly, based on your preference).
francho3/OasisPiWind
Toy UK windstorm model
francho3/OasisUI
User Interface for the Oasis platform.
francho3/POD_Chuvas_BR
O que se faz aqui? Explora-se o banco de dados meteorológicos do INMET, a partir de dados coletados por cerca de 600 estações distribuídas pelo Brasil entre os anos de 2013 a 2022, através do método POD, Proper Orthogonal Decomposition.
francho3/power-BI-DSA
Curso Microsoft Power BI Para Business Intelligence e Data Science da DSA
francho3/scikit-downscale
Statistical climate downscaling in Python
francho3/seaflow
SEAsonal FLOW forecasts
francho3/seaform
Seasonal Forecasts Management Platform
francho3/seasonal-forecasting
Existing El Niño forecasts use dynamical models that rely on the physics of the atmosphere and ocean. Learn how to create El Niño forecasts using machine learning instead, which uses statistical optimization to issue forecasts.
francho3/subseasonal_toolkit
Subseasonal forecasting models
francho3/venta-departamento
web venta de departamento