Machine Learning with Python | Geocoding and Reverse Geocoding using Python- P76

Machine Learning with Python | Geocoding and Reverse Geocoding using Python- P76

Session # 76

Topic to be covered - Geocode and Reverse Geocode

Geocoding is the process of transforming a description of a location—such as a pair of coordinates, an address, or a name of a place—to a location on the earth's surface. You can geocode by entering one location description at a time or by providing many of them at once in a table. The resulting locations are output as geographic features with attributes, which can be used for mapping or spatial analysis.

You can quickly find various kinds of locations through geocoding. The types of locations that you can search for include points of interest or names from a gazetteer, like mountains, bridges, and stores; coordinates based on latitude and longitude or other reference systems, such as the Military Grid Reference System (MGRS) or the U.S. National Grid system; and addresses, which can come in a variety of styles and formats, including street intersections, house numbers with street names, and postal codes.

Code Starts Here
==============

from geopy.geocoders import Nominatim

geolocator = Nominatim()

city = 'kolkata'
country = 'India'

Both City and Country
loc = geolocator.geocode(str(city + ','+ country))

print(loc.latitude,loc.longitude)

loc1 = geolocator.geocode(country)
print(loc1.latitude, loc1.longitude)

from pygeocoder import Geocoder

result = Geocoder.reverse_geocode(19.1334321,72.8882172)

print(result.coordinates)
print(result.country)
print(result.city)
print(result.administrative_area_level_1)
print(result.administrative_area_level_2)

address1 = Geocoder.geocode('221B Baker Street,LONDON NW1 6XE')

print(address1.street_number)

print(address1.route)

print(address1.city)
print(address1.country)
print(address1.administrative_area_level_1)
print(address1.administrative_area_level_2)

All Playlist of this youtube channel
====================================

1. Data Preprocessing in Machine Learning
https://www.youtube.com/playlist?list=PLE-8p-CwnFPuOjFcbnXLFvSQaHFK3ymUW

2. Confusion Matrix in Machine Learning, ML, AI
https://www.youtube.com/playlist?list=PLE-8p-CwnFPvXzvsEcgb0IZtNsw_0vUzr

3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz
https://www.youtube.com/playlist?list=PLE-8p-CwnFPsBCsWwz_BvbZZHIVQ6wSZK

4. Cross Validation, Sampling, train test split in Machine Learning
https://www.youtube.com/playlist?list=PLE-8p-CwnFPsHtol5WXHhq_B3kQPggHH2

5. Drop and Delete Operations in Python Pandas
https://www.youtube.com/playlist?list=PLE-8p-CwnFPtvqVVK7QVFsMvDvp2YgCnR

6. Matrices and Vectors with python
https://www.youtube.com/playlist?list=PLE-8p-CwnFPsndwnZnL7nXW5mIrdRmgdg

7. Detect Outliers in Machine Learning
https://www.youtube.com/playlist?list=PLE-8p-CwnFPvyCX35yES5D9W7vThiUzwk

8. TimeSeries preprocessing in Machine Learning
https://www.youtube.com/playlist?list=PLE-8p-CwnFPv10bru3719xzDNIgbO6hXA

9. Handling Missing Values in Machine Learning
https://www.youtube.com/playlist?list=PLE-8p-CwnFPvOec0LZ40Bt8OQcbLFa236

10. Dummy Encoding Encoding in Machine Learning
https://www.youtube.com/playlist?list=PLE-8p-CwnFPvu7YriqMZsL9UDbqUUk90x

11. Data Visualisation with Python, Seaborn, Matplotlib
https://www.youtube.com/playlist?list=PLE-8p-CwnFPuYBYsmbfMjROOCzKjCwyMH

12. Feature Scaling in Machine Learning
https://www.youtube.com/playlist?list=PLE-8p-CwnFPtwpVV3FwzwYZYR5hT3i52G

13. Python 3 basics for Beginner
https://www.youtube.com/playlist?list=PLE-8p-CwnFPu-jseUMtc4i47jQZN4PNbf

14. Statistics with Python
https://www.youtube.com/playlist?list=PLE-8p-CwnFPta0COlxS6E5u14m5ouzbRU

15. Sklearn Scikit Learn Machine Learning
https://www.youtube.com/playlist?list=PLE-8p-CwnFPtAGb29r8F7up9ilZUXt3l1

16. Python Pandas Dataframe Operations
https://www.youtube.com/playlist?list=PLE-8p-CwnFPv_63lkT_Tztiwknv_zGTNy

17. Linear Regression, Supervised Machine Learning
https://www.youtube.com/playlist?list=PLE-8p-CwnFPslDi6sfFbFK4KXcVlLwaOM

18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics
https://www.youtube.com/playlist?list=PLE-8p-CwnFPt7VBhcnh82y0autSzuOrZp

19. Jupyter Notebook Operations
https://www.youtube.com/playlist?list=PLE-8p-CwnFPtqkFd67OZcoSv4BAI7ez5_