Machine Learning methods for finding outliers I have a csv files of thousands of lines, the data is put down into a Dataframe of columns.
Some of the column have text information while others might have numbers.
I want to detect anomalies or outliers inside this csv file. 

Being relatively new to this and not knowing much I would appreciate if I get some help or a small guidance and how I should tackle this problem. What methods or what is the best approach to find outliers in a Dataframe.

My language of choice is Python
You should plot the data with matplotlib and seaborn to get a visual view of the data.  That is where I would start.  Especially with large datasets, this is a quick way to visually see any outliers.