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IBM Data Science Professional Certificate
Coursera IBM Applied Data Science Capstone
A topic-centric list of HQ open datasets.
Exploring California Wildfire Data
study of California Wildfires using seven years of CalFire Data
Wildfires are natural disaster events that cause destruction, pose safety and health hazards, and are possible accelerating in rate due to climate change. We wish to quantify the impact of wildfires, particularly in the context of air quality, on both a short time-scale (days to weeks), as well as over longer periods of time (months to years). In this project, we examine air quality data (various pollutants / gas particles) before, during, and after the fire.
Respository of the practical assigments of the course IBM Data Science from coursera
Peer-Graded Assignment: Capstone Project Notebook | Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.
IBM Data Science Professional Certificate
Data_Science_Capstone
Capstone project for IBM Data Science Professional Certificate on Coursera.
Quiz & Assignment of Coursera
California Wildfire Risk Prediction
This project is a "Capstone Project" of Coursera - "IBM Applied Data Science Capstone Course" in the fourth/fifth weeks. In this project, we want to determine the best neighborhood in Amsterdam for the entrepreneurs to open a new restaurant. In the project, we tried to use most of the python scripts, libraries, virtualization of data, foursquare api.. etc.
Visualizes California wildfires from 1998 to 2018
Observation of California wildfires and earthquakes in the last 28 years
Wildfire is a natural disaster, causing irreparable damage to local ecosystem. Sudden and uncontrollable wildfires can be a real threat to residents’ lives. Statistics from National Interagency Fire Center (NIFC) in the USA show that the burned area doubled from 1990 to 2015 in the USA. Recent wildfires in northern California (reported by CNN) have already resulted in more than 40 deaths and 50 missing. More than 200,000 local residents have been evacuated under emergency. The wildfires occur 220,000 times per year globally, the annual burned area is over 6 million hectares. Accurate and early detection of wildfire is therefore of great importance. Fire detection task is crucial for people safety. Several fire detection systems were developed to prevent damages caused by fire. One can find different technical solutions. Most of them are sensors based and are also generally limited to indoors. They detect the presence of particles generated by smoke and fire by ionization, which requires a close proximity to the fire. Consequently, they cannot be used in large covered area. Moreover, they cannot provide information about initial fire location, direction of smoke propagation, size of the fire, growth rate of the fire, etc. To get over such limitations video fire detection systems are used
Code from my GIS Capstone Project in W19
Repository for GIS Capstone Project
GIS Specialization Capstone project
Learning materials, Quizzes & Assignment solutions for the entire IBM data science professional certification. Also included, a few resources that I found helpful.
This repository contains all the resources and solution to quizzes given and asked in IBM Data Science Professional Certification.
Labs and the final assignment for IBM's Python Project.
Repository of Coursera IBM Data Science Professional Certificate
California Wildfire Damage Projection
IBM Data Science Professional Certificate on Coursera
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.