Level 1  Module 3
Things that I learned
Technical Area:

Organized the data in an ordered set by using pandas.

Used pandas to clean the data and call the saved csv file that contained the data.

Used matplotlib.pyplot to graph and visualize the data.

Understood the basic mechanics of the recommender system.
Tools:

Pandas

CSV

NumPy

Jupyter Notebook

matplotlib.pyplot

Git / GitHub
Soft Skills:

Learned the basics of pandas and how to use it

Gained experience with the basic recommender system

Learned how to use matplotlib.pyplot and graph the data
Achievements:

Successfully cleaned the data and graphed it in a bar chart

Gathered the Data that I needed and visualized it in a table

Categorized the topics and determined the the Category that has the most topics by graphing it with matplotlib.pyplot

Removed special characters from data

Successfully visualized the data in various types of graphs and charts
Tasks Completed:

Explored the data I Scraped and Graphed

Read and watched the tutorials and online videos

Created a basic recommender system