coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

deep-learning-frameworks

Installation support for Deep Learning Frameworks for the ArcGIS System

different-layer

In this code you will find different base layer and also overlays in the maps. i have used leaflet layer function to create this.

leaflet-project

In this project i have added few places of Pokhara and when i click over any place it will automatically zoom to that place.

machine-learning-specialization-coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

portfolio

This is just the info of mine with few info. More updated portfolio will be published as soon as possible.

raster-data-processing-using-gdal

In this code i try to convey very basics of raster image processing using GDAL libraries.

supathdhitalgeo

Config files for my GitHub profile.

weather-forecasting

We aim to forecast precipitation and temperature for the next 2-3 hours in Nepal using past meteorological data (e.g., humidity, temperature, wind speed). Numerical weather forecasting's high computational demands challenge agriculture and flood management. To address this, we use LSTM techniques for optimal solutions.

wrcdronedata