Regression → Working with Data

Visualization and preparing data so that you can work on it later is essential for accurate regression operations. Finding out of place or problems in data is helpful to normalize values later or drop data that is not useful.

This video uses Pandas for data exploration and matplotlib for plotting and graphing data.

Data preparation from the Regression Lesson → https://aka.ms/ml-for-beginners-regression-data
Part of the ML For Beginners Course → https://aka.ms/ml-for-beginners
Learn More about Regression → https://docs.microsoft.com/learn/modules/understand-regression-machine-learning/?WT.mc_id=academic-41785-alfredodeza
Get started with Python → https://docs.microsoft.com/learn/paths/python-first-steps/?WT.mc_id=academic-41785-alfredodeza
Download Visual Studio Code → https://code.visualstudio.com/?WT.mc_id=academic-41785-alfredodeza
Download and install Python → https://www.python.org/
Install Python extension for VSCode → https://marketplace.visualstudio.com/items?itemName=ms-python.python&WT.mc_id=academic-41785-alfredodeza

Timeline
1:20 Intro to Regression Lesson and preparing data
2:42 VSCode to open the Jupyter Notebook
3:23 Open CSV file in VSCode
5:02 Install CSV extension for VSCode
6:31 Use the Jupyter Notebook for data exploration and visualization
13:32 Use matplotlib for plotting!