4 Advanced Visualization & Modeling
Two out of three — done! Now, let’s get to the last part of the course. And maybe the most exciting part: advanced visualization with seaborn and some fancy machine learning modeling with scikit-learn (we admit, it’s just a regression — but the neural networks or gradient boosting algorithms are just a couple of code lines away).
4.1 Lecture Notes
4.2 Application Exercise During the Course
Visualizing Weather Data and Predicting Apartment Prices
Please open Google Colab for this exercise through the following link. After opening the Google Colab instance, save a copy to your own Google drive. That’s how you will retain your copy with your own code.
4.3 Additional Application Exercises for Self-Study
Excited for more data wrangling and visualization? Check out the following additional exercises that let you visualize AirBnB data from Berlin.