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davidloku1234567's Projects

cal_fire icon cal_fire

study of California Wildfires using seven years of CalFire Data

california-wildfire-air-quality-data-analysis icon california-wildfire-air-quality-data-analysis

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.

coursera-applied-data-science-capstone icon coursera-applied-data-science-capstone

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.

determine-the-best-neighborhood-in-amsterdam-pandas-numpy-matplotlib-geopy icon determine-the-best-neighborhood-in-amsterdam-pandas-numpy-matplotlib-geopy

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.

firequake icon firequake

Observation of California wildfires and earthquakes in the last 28 years

forest-fire-detection-through-uav-imagery-using-cnns icon forest-fire-detection-through-uav-imagery-using-cnns

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

geog4480 icon geog4480

Code from my GIS Capstone Project in W19

ibmdatascience icon ibmdatascience

Repository of Coursera IBM Data Science Professional Certificate

python icon python

IBM Data Science Professional Certificate on Coursera

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