In this tutorial, we will introduce you to the basics of how to work with time series in Python. For this we will use the packages Pandas, statsmodels (for some hypothesis testing) and matplotlib (for visualizations). Get comfortable, let's dig in!

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In this tutorial, we will introduce you to the basics of how to work with time series in Python. For this we will use the packages Pandas, statsmodels (for some hypothesis testing) and matplotlib (for visualizations). Get comfortable, let's dig in!

Another week, another tutorial! This week, we will use well-known Python packages requests and BeautifulSoup to extract the information from the websites. We will extract the text of an article from the webpage www.espn.com/nba.This week we will show you how to start with Machine Learning in Python on a simple regression exercise using Pandas and sklearn. These two packages are state of the art for data wrangling and Machine Learning in Python. Get comfortable, let's dig in!