Data Science notebooks used along my career

Analysis using Jupyter Notebook, CityPy, Pandas Dataframe, Matplotlibs, Jupyter GMaps, and Google APIs.

Series of Jupyter Notebooks analyzing weather data, creating a travel destinations map, and a travel itinerary.

The purpose of this project is to create an app to analyze weather data on specific cities based on a customer's travel preference. OpenWeatherMap API, Google’s Map API, Matplotlib and Jupyter Notebook.

I created a Python script to visualize the weather of 500+ cities across the world of varying distance from the equator. Then, I used Jupyter notebook, Google Maps, and Google Places API, and created a heat map of humidity. Finally, I created my ideal weather condition on the map, used Google Places API to find the hotel information for each city.

Location Notebook that you can save and delete locations

Slides and Jupyter Notebook used in the Talk "Building a Chatbot for Slack using Stanford NLP " #meetup #chennaipy

We consider Simple, the app, a way to help people with their diseases. It offers people a way to control their alarms, control their ideas, and a way to control what they have to remember. And it offers a simple way to call emergencies, the police and their emergency contacts.

I intended to cluster the districts of Munich in this notebook, depending on their most frequent venue types. The district information was obtained through scraping Munich's city website. The pertinent geographic information was obtained through calls to the Google Maps API. The venue information is the courtesy of FourSquare API. This notebook …

Used Jupyter Notebook, Pandas, and Matplotlib to visualize regression analysis on data extracted from Open Weather API. Used Google Maps API to visualize differences in humidity between cities, and to show hotels for locations experiencing great weather.