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1. Introduction to Numpy, Pandas, Matplotlib Download Jupyter Notebook file -> [CAP4611-HW1-Tools.ipynb](https://webcourses.ucf.edu/courses/1452517/files/104605956?wrap=1 "CAP4611-HW1-Tools.ipynb") [Download CAP4611-HW1-Tools.ipynb](https://webcourses.ucf.edu/courses/1452517/files/104605956/download?download_frd=1) Follow the prompts in the attache…
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1. Introduction to Numpy, Pandas, Matplotlib Download Jupyter Notebook file -> [CAP4611-HW1-Tools.ipynb](https://webcourses.ucf.edu/courses/1452517/files/104605956?wrap=1 "CAP4611-HW1-Tools.ipynb") [Download CAP4611-HW1-Tools.ipynb](https://webcourses.ucf.edu/courses/1452517/files/104605956/download?download_frd=1) Follow the prompts in the attached Jupyter Notebook. Download the data from (Modules/ Datasets for Assignment) and place it in your working directory, or modify the path to upload it to your notebook. Before every code cell, add markdown cells to your analysis. Include your solutions, comments, and answers on how to solve the problem. Add as many cells as you need, for easy readability comments when possible. Hopefully, this homework will provide you with an introduction on the tools you need to use to learn about Machine Learning and get you ready for individual work. Submission: Save your ipynb file named with your Name_HW1 (e.g.John_Doe_HW1.ipynb). Good luck!
