Introduction to Data Science in Python

Introduction to Data Science in Python

Run the hidden code cell below to import the data used in this course.

Take Notes

Add notes about the concepts you've learned and code cells with code you want to keep.

Add your notes here Modules: statsmodels: machine learning sm seaborn sns

keyword argument = atributos adicionales de las funciones

plt.text(xcoord,ycoord, message) message in an specific point keyword linewidth ----> hacer la linea más gruesa keyword linestyle ----> change the style line keyword marker -----> marker for each point of the line

barplot

plt.bar(y,x(categorical)) plt.bar(y,x(categorical2), bottom= categorical1)

histogram plt.hist(data, density= True) -------> normalization