In every project, I want to help you discover new data visualization Python libraries because, as you saw, data engineering and visualization are essential to every modern data-centric project. This time, I chose seaborn to visualize the data and explore it before starting the training phase. Seaborn is a Python library for making statistical visualizations. The following is an example of generating a plot with seaborn:
>>> data = np.random.multivariate_normal([0, 0], [[5, 2], [2, 2]], size=2000)>>> data = pd.DataFrame(data, columns=['x', 'y'])>>> for col in 'xy':... seaborn.kdeplot(data[col], shade=True)
For example, ...
