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Calculate distance between two places (e.g., via GoogleMaps API)

$30-250 USD

Closed
Posted over 2 years ago

$30-250 USD

Paid on delivery
Looking for a freelancer who can compute three distance measures for a list of <3 million location pairs. Here are the three distance measures we need for each location pair: 1. Geographic distance in km 2. Commuting time in minutes by fastest mode (i.e., car, train, airplane, ferry, ...) 3. Commuting time in minutes by car Each location is specified by country, state, city. A screenshot of the list iwth location pairs is attached. There are different ways to do this. GoogleMaps API, Python, R packages, etc. You can choose the method you prefer. We only care about correct results, not the method. This job should begin immediately and be completed within 48 hours. Budget is USD150 max. Please let me know whether you are the right fit for this task, and apply!
Project ID: 31929112

About the project

6 proposals
Remote project
Active 2 yrs ago

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6 freelancers are bidding on average $173 USD for this job
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Hello, I read your project details and really interested in your mentioned job. I have 5+ years’ experience doing similar jobs related to these skills Python, R Programming Language, C++ Programming, Data Processing and Data Scraping. I think its doable job, and really confident to do that. Please start the chart so we have detail discussion about task and finalize it as per your timeline. Regards Umair
$250 USD in 8 days
4.9 (8 reviews)
4.1
4.1
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Professional Mathematician and master in Matlab️ Hello , I hope you are safe and Doing well I have seen your project requirements , I am looking to discuss further with you Hope we will meet soon to discuss further Coming to me, I am a professional mathematician and recieved bachelor degree in statistics. I have done many project using Matlab, Mathematica, Maple so on. I am very confident in your project and ready to start your work right now. Let me know your availability of time to discuss this project through call or chat Stay safe Thanks, regards
$100 USD in 3 days
5.0 (12 reviews)
3.9
3.9
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Engineer & Junior Data Scientist. Having more than two years of experience in Machine Learning with Python using Jupyter Notebook through Anaconda, Kaggle, and Google Cloud Platform. Sound exposure to Data Preprocessing, Data Analysis techniques like Data Visualization, Feature Engineering, and Statistical Analysis; and model designing with Machine and Deep Learning algorithms. Besides, replicated a journal paper ( Beijing Housing Price Prediction via Improved ML Techniques) for estimating London residential prices for one of the client master thesis involving geospatial data, transaction data, and macroeconomic data. The research regarding estimating London Housing prices is based on UK transaction price paid data with adding some colors like integrating macroeconomic indicators (GDP, inflation, Employment and Unemployment, and Consumer Price Index),subways (within 0.5,1.0 & 2.0 miles property radius), bus stops (within 0.5 miles property radius) and supermarkets or retail stores (within 0.5,1.0 & 2.0 miles property radius). We all know that economics is connected to everything. So it can affect the property prices. Similarly, with more facilities in an area can impact the property price too. So the purpose is to see, whether they affect the house prices. Our base line is the transaction data. Then we add the other data one by one and check the predictions. I will share that work on your request.
$150 USD in 2 days
4.9 (5 reviews)
3.1
3.1
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Hey! i recently completed like this. Thanks
$200 USD in 7 days
0.0 (0 reviews)
0.0
0.0

About the client

Flag of GERMANY
Frankfurt am Main, Germany
5.0
58
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Member since Dec 21, 2018

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