Caso precise, selecionamos alguns conteúdos que podem te ajudar a completar este desafio. Eles estão ordenados por nível iniciante, introdutório e avançado. Bons estudos!
Comprehensive data exploration with python on the Titanic Survival Dataset
This series is about how to make effective use of pandas, a data analysis library for the Python programming language. It's targeted at an intermediate level: people who have some experience with pandas, but are looking to improve.
Modern Pandas (Part 2): Method Chaining
Modern Panadas (Part 3): Indexes
Modern Pandas (Part 4): Performance
Modern Pandas (Part 5): Tidy Data
In this section, we introduce the machine learning vocabulary that we use throughout scikit-learn and give a simple learning example.
Learning Objectives: Define linear regression; Identify errors of prediction in a scatter plot with a regression line
In this video, you'll see what the model looks like and more importantly you'll see what the overall process of supervised learning looks like. Let's use some motivating example of predicting housing prices. We're going to use a data set of housing prices from the city of Portland, Oregon.
In this video we will start to talk about a new version of linear regression that's more powerful. One that works with multiple variables or with multiple features.
You know that linear regression is a popular technique and you might as well seen the mathematical equation of linear regression. But do you know how to implement a linear regression in Python?