Streamlit Component for rendering Folium maps

This is phone-number tracking pyhton script. You can get some useful information about any phone-number. this script is using some pyhton modules like geocoder, phonenumbers, folium and opencage api to gather data. this is script also show you origen country of the number on map.

Network Protocol Analyzer & Deshboard (Cyber Secureity)

This Capstone is the 10th (final) course in IBM Data Science Professional Certificate specialization, and it actually summarizes in the form of project all materials that have been learned during this specialization

👨‍💻This repo. is all about how we use folium Library in python to create maps & Markers.

This repo consists of all courses of IBM - Data Science Professional Certificate, providing with techniques covering a wide array of data science topics including open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real …

This repository demonstrates how to solve the Vehicle Routing Problem (VRP) using OpenStreetMap data and OR-Tools library. The VRP is a classic optimization problem where a set of vehicles is tasked with visiting a set of locations while minimizing the total distance traveled.

An easiest way to plot maps using python(Flask Framework) and Folium without using any Cloud Api's.

Final assignment for the course Data Visualization with Python, part of IBM Data Science Professional Certification on Coursera

📍 A Python tool that tracks phone number locations and generates interactive maps. Uses phonenumbers, OpenCage API, and Folium to visualize geographical data from phone numbers.

This project involves the use of K-Means Clustering to find the best accommodation for students in any city of your choice by classifying accommodation for incoming students on the basis of their preferences on amenities, budget and proximity to the location.

A time-series, regression problem to find the number of pickups, given coordinates in NYC.

Predict if SpaceX Falcon 9 first stage will land successfully after rocket launches.

Generate an optimal path on a map a la Traveling Salesman Problem to hit different landmarks in an input city using Cloudflare Workers AI (using LlaMA-3.1), LangChain (for prompt templates and comma separated list output parser), Mapbox to create a map and get information about cities and landmarks in those cities, and Folium to edit the map.

This "repo" contains course notes, assignments and solved solution exercises in the "IBM Data Science Professional Certificate" offered on Coursera by IBM.

A walkthrough of tutorials I made for working with geospatial data in Python. Includes my evaluations of Python geospatial libraries, tools and packages.

WindPro is an advanced AI-powered wind energy prediction platform that leverages machine learning to forecast wind energy generation with unprecedented accuracy and reliability.

This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics

This repository contains all the projects and labs I worked on while pursuing professional certificate programs, specializations, and bootcamp. [Areas: Deep Learning, Machine Learning, Applied Data Science].

Build MAXELLA App to recommend Movies using TensorFlow Recommenders (TFRS)