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Sai Rahul Ponnana's Projects

applied-data-science-capstone-segmenting-and-clustering-toronto icon applied-data-science-capstone-segmenting-and-clustering-toronto

In this assignment, you will be required to explore, segment, and cluster the neighborhoods in the city of Toronto. However, unlike New York, the neighborhood data is not readily available on the internet. What is interesting about the field of data science is that each project can be challenging in its unique way, so you need to learn to be agile and refine the skill to learn new libraries and tools quickly depending on the project. For the Toronto neighborhood data, a Wikipedia page exists that has all the information we need to explore and cluster the neighborhoods in Toronto. You will be required to scrape the Wikipedia page and wrangle the data, clean it, and then read it into a pandas dataframe so that it is in a structured format like the New York dataset. Once the data is in a structured format, you can replicate the analysis that we did to the New York City dataset to explore and cluster the neighborhoods in the city of Toronto.

coursera_capstone-1 icon coursera_capstone-1

This repository will be mainly used for storing the notebooks for the capstone project

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

depression-detect icon depression-detect

Predicting depression from acoustic features of speech using a Convolutional Neural Network.

graphing_flight_paths icon graphing_flight_paths

The purpose of this project is to solve the shortest path problem, one of the fundamental theoretic problems known in graph theory, and how Dijkstra's algorithm can be used to solve it. Done as part of the final project for MOOC on Graph Theory by UCSD.

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