Tag: Python

Gaussian Mixture Models with Scikit-learn in Python

Data for fitting Gaussian Mixture Models Python

In simpler statistical models, we typically assume our data came from a single distribution. For example, to model height, we can assume that each observation came from a single Gaussian distribution with some mean and variance. However, often we might be in a scenario where that assumption is not valid and our data is more… Continue reading Gaussian Mixture Models with Scikit-learn in Python

Pandas filter(): Select Columns and Rows by Labels in a Dataframe

In this post, we will learn how to use Pandas filter() function to subset a dataframe based on its column names and row indexes. Pandas has a number of ways to subset a dataframe, but Pandas filter() function differ from others in a key way. Pandas filter() function does not filter a dataframe on its… Continue reading Pandas filter(): Select Columns and Rows by Labels in a Dataframe

How to Combine Year, Month, and Day Columns to single date in Pandas

In this post, we will see how to combine columns containing year, month, and day into a single column of datetime type. We can combine multiple columns into a single date column in multiple ways. First, we will see how can we combine year, month and day column into a column of type datetime, while… Continue reading How to Combine Year, Month, and Day Columns to single date in Pandas

How to Convert a Column to Datetime type with Pandas

Pandas in Python has numerous functionalities to deal with time series data. One of the simplest tasks in data analysis is to convert date variable that is stored as string type or common object type in in Pandas dataframe to a datetime type variable. In this post we will see two ways to convert a… Continue reading How to Convert a Column to Datetime type with Pandas