Krishnagopal Halder's repositories
PyImgProc-Image-Processing-using-Python
The "PyImgProc-Image-Processing-using-Python" GitHub repository is a comprehensive resource for image processing tasks implemented in Python.
Python-Basics-Learn-to-Code-from-Scratch
Welcome to "Python Basics: Learn to Code from Scratch"! This is a comprehensive course designed for beginners who want to learn Python from scratch. In this repository, you will find all the course materials, including notebooks, assignments, and solutions.
Mastering-Machine-Learning-and-GEE-for-Earth-Science
This repository is designed to empower individuals with advanced expertise in integrating Machine Learning techniques with Google Earth Engine (GEE).
Data-Science-Bootcamp-with-Python
This comprehensive course is designed to take you from a beginner level to a proficient level in data science with Python. The course covers the essentials of data science, including data exploration and visualization, data cleaning and wrangling, statistical analysis, and machine learning.
Data-Wrangling-with-Xarray
This comprehensive and practical course empowers learners to efficiently manipulate and analyze multidimensional data using the powerful Xarray library in Python.
DeepRead
LLM tool for document reading
End-to-End-Machine-Learning
Welcome to the "End-to-End Machine Learning" repository, your comprehensive guide to mastering the entire lifecycle of machine learning projects.
geonextdemo
A Python package demo for geospatial
geonextgis
My personal website
geonextgis.github.io
My personal website
Image-Analysis-in-Remote-Sensing-with-Python
This GitHub repository provides a comprehensive collection of Python scripts, tools, and examples for image analysis in remote sensing applications. It aims to assist researchers, scientists, and developers in processing and extracting valuable information from remote sensing imagery.
LaTeX-Full-Tutorial-for-Beginners
Welcome to the LaTeX Full Tutorial for Beginners repository! πβ¨ This comprehensive guide is designed for newcomers to LaTeX, a powerful typesetting system commonly used for creating documents, articles, and academic papers. Whether you're a student, researcher, or enthusiast, this tutorial covers everything from the basics to advanced topics.
Mathematics-for-Data-Science
This repository comprehensively guides the fundamental mathematical concepts crucial for mastering data science.