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
==============

geolocator = Nominatim()

city = 'kolkata'
country = 'India'

Both City and Country

from pygeocoder import Geocoder

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

1. Data Preprocessing in Machine Learning

2. Confusion Matrix in Machine Learning, ML, AI

3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz

4. Cross Validation, Sampling, train test split in Machine Learning

5. Drop and Delete Operations in Python Pandas

6. Matrices and Vectors with python

7. Detect Outliers in Machine Learning

8. TimeSeries preprocessing in Machine Learning

9. Handling Missing Values in Machine Learning

10. Dummy Encoding Encoding in Machine Learning

11. Data Visualisation with Python, Seaborn, Matplotlib

12. Feature Scaling in Machine Learning

13. Python 3 basics for Beginner

14. Statistics with Python

15. Sklearn Scikit Learn Machine Learning

16. Python Pandas Dataframe Operations

17. Linear Regression, Supervised Machine Learning

18 Interview Questions on Machine Learning, Artificial Intelligence, Python Pandas and Python Basics

19. Jupyter Notebook Operations

[Jerry_LRT]

Seems now we need to pay to use the Geocoder and Pygeocoder? These libraries are linked to the Google Geocoder API and seems now we need to pay for starting a project to use the API and hence these two libraries.

[pallabsaha]

when we have too many columns of continuous as well as categorical features, how do find top 3 features greatly affecting the model?

[amritaajotikar]

Do i need to use API for reverse geocoding..? did you use it in your program

[nikethbayya]

while i am doing reverse geocoding, I am getting an error
GeocoderError: Error REQUEST_DENIED


so what should I do to fix this error ?

[abdkumar]

Nice....
Show you face and make the video little more interesting by introducing urself in every video and give bonus info or tell where it will be useful like that