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Jupyter Notebook
Created almost 4 years ago
Updated almost 4 years ago

kehinde-abayomi

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Clearly define a problem or an idea of your choice, where you would need to leverage the Foursquare location data to solve or execute. Remember that data science problems always target an audience and are meant to help a group of stakeholders solve a problem, so make sure that you explicitly describe your audience and why they would care about your problem.

Capstone-project-Notebook

Notebook for the capstone project from course Applied Data Science Capstone by IBM on Coursera

Jupyter Notebook

kehinde-abayomi

Config files for my GitHub profile.

Segmenting-and-Clustering-Neighborhoods-in-Toronto

Peer-graded Assignment: Peer-graded Assignment: Segmenting and Clustering Neighborhoods in Toronto

Capstone-Project

If you haven't used Github before, you can find a series of videos to walk you through the process of creating a repository on Github and setting it up and getting started with Git. For Mac users, click here. For Windows users, click here. Now, start a Jupyter Notebook using any platform that you are comfortable with and do the following: Write some markdown to explain that this notebook will be mainly used for the capstone project. Import the pandas library as pd. Import the Numpy library as np. Print the following the statement: Hello Capstone Project Course! Push the Notebook to your Github repository and submit a link to the notebook on your GitHub repository.

kehinde-abayomi/Peer-graded-Assignment-Capstone-Project---The-Battle-of-Neighborhoods-Week-1-

kehinde-abayomi

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