Desenvolvimento de um modelo de machine learning para prever o sucesso de startups. O objetivo é identificar quais empresas têm maior probabilidade de se tornarem casos de sucesso no mercado.

In this project, I will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas.

I will perform an analysis on a dataset of the global average sea level change and use it to predict the sea level change through year 2050 with linear regression.

Data visualizations that will help to understand the patterns in visits to a web page and identify yearly and monthly growth. For this I will plot a line chart, bar chart, and box plots, using Pandas, Matplotlib, and Seaborn