How to Visualize Data with Matplotlib [Part 9] | Machine Learning for Beginners

📈 In this video, Bea Stollnitz, a Principal Cloud Advocate at Microsoft, guides you through visualizing data using the popular Python library, matplotlib. This video is part of our Machine Learning for Beginners series, where we cover various machine learning topics and their implementation using Python code in Jupyter notebooks.

In this video, you'll learn:

✅ The importance of visualizing data for understanding and communication
✅ How to create a scatter plot using matplotlib
✅ How to create a bar chart using the Pandas DataFrame API with matplotlib
✅ How to effectively use visualization to answer questions about your data

We'll continue working with the pumpkin dataset we prepared in the previous video to find the cheapest month to buy a pumpkin. Follow along as we visualize the data using scatter plots and bar charts, making it easier to draw conclusions and answer our original question.

Make sure to subscribe and hit the notification bell 🔔 so you won't miss our next video, where we'll dive deeper into linear regression and guide you through it's implementation using Python code in Jupyter notebooks. See you there!

📙 Follow along:

The Jupyter Notebook to follow along with this lesson is available here:

#DataVisualization #Python #Matplotlib #machinelearning #ml

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0:00 - Intro
0:25 - The different plot types supported by matplotlib
0:57 - Our goal today - figure out the cheapest month to buy a pumpkin
1:14 - Build a scatter plot using matplotlib
2:14 - Find the average price of pumpkins per month on a bar chart using pandas