Pinned Repositories
air-quality-data-analysis
Data cleaning and analysis of Air Quality Data acquired from data.gov.in
Air-Quality-Detection
This Model will detect the air quality
Air-Quality-Modelling-using-Regression
Air-Quality-Prediction
Time series analysis with ARIMA, LSTM - RNN, Prophet models on Delhi Air Quality data.
air_quality_index
Regression Model predicting Air Quality Index
Air_quality_pred
Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air
AirQuality
Develop model to predict PM2.5 from satellite imaging data
airQuality-1
Modelling the health effects of air quality
AirQualityAnalysis
ML Regression model to analyse Carbon and Nitrogen standards in air.
analysis-and-prediction-of-urban-air-quality
Analysis and prediction of air quality index
Bishwa15's Repositories
Bishwa15/air-quality-data-analysis
Data cleaning and analysis of Air Quality Data acquired from data.gov.in
Bishwa15/Air-Quality-Detection
This Model will detect the air quality
Bishwa15/Air-Quality-Modelling-using-Regression
Bishwa15/Air-Quality-Prediction
Time series analysis with ARIMA, LSTM - RNN, Prophet models on Delhi Air Quality data.
Bishwa15/air_quality_index
Regression Model predicting Air Quality Index
Bishwa15/Air_quality_pred
Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air
Bishwa15/AirQuality
Develop model to predict PM2.5 from satellite imaging data
Bishwa15/airQuality-1
Modelling the health effects of air quality
Bishwa15/AirQualityAnalysis
ML Regression model to analyse Carbon and Nitrogen standards in air.
Bishwa15/analysis-and-prediction-of-urban-air-quality
Analysis and prediction of air quality index
Bishwa15/ARSET_XCO2
XCO2
Bishwa15/Bishwa15
Config files for my GitHub profile.
Bishwa15/Comparison-of-ML-models-for-predicting-AQI
In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).
Bishwa15/GlobalUrbanHeat
Repository for Tuholske, C., Caylor, K., Funk, C., Verdin, A., Sweeney, S., Grace, K., ... & Evans, T. (2021). Global urban population exposure to extreme heat. Proceedings of the National Academy of Sciences, 118(41).
Bishwa15/Machine-learning-algorithms-for-modelling-air-quality
Diploma Thesis
Bishwa15/MODIS_Aerosols
convert AOD to pm2.5
Bishwa15/MODIS_MAIAC
modis aod to pm2.5
Bishwa15/nepalicalendar-py
Python Nepali Calendar library
Bishwa15/OCO2-OCO3
XCO2
Bishwa15/OCO23RetrievalFramework
Bishwa15/pm25predict
predictive model for air quality monitoring
Bishwa15/predicting-air-quality-with-lstm
Contains code for building a simple lstm model to predict hourly Beijing air quality data.
Bishwa15/Sherpa
Source receptor model for regional air quality in Europe
Bishwa15/stilt
Stochastic Time-Inverted Lagrangian Transport model
Bishwa15/USA-AirQuality-DataModelling
Bishwa15/VIIRS_NASA
aod to pm2.5
Bishwa15/VIIRS_NOAA
viirs AOD to pm2.5
Bishwa15/X-STILT
Source codes for X-STILT [Wu et al., 2018] based on STILT-R version 2 [Fasoli et al., 2018] and STILT [Lin et al., 2003].