Which Machine Learning methods would be good for a beginner-level Data Science project for described dataset? I want to do my first  beginner-level project regarding Data Science. I picked my data set which is described below. I want to make a Python script which will make some predictions on our data set using training and test data. That could be for example a prediction which countries will see rise in number of customers and which ones will see a decline, but that's just the first idea that popped in my head. I want to implement a few Machine Learning methods to do the same prediction on our data set and compare their results. Finally comes my question - which Machine Learning methods would you suggest for a beginner Data Science project with this data set which is described below? Thank you in advance for any suggestions. I don't want to pick something very hard as the beginner and I also don't want to pick a method that just doesn't "fit" my data set (because it's rather simple). 

EDIT: To specify this project will concern business predictions based probably on time-series. I'm looking for recommendations for which ML methods are easy to implement use and understand for the beginner. Project will be written in Python. 

Data Set Description:

Number of Attributes : 8

Invoice : Integer

StockCode : String

Description: String

Quantity : Integer

InvoiceDate : Timestamp

Price : Decimal

CustomerID : Integer

Country : String

Number of records: 541910

Date ranges: 01/12/2010 08:26 - 09/12/2011 12:50

Price ranges: -11062.06 - 38970.00

Number of distinct Countries: 38
That doesn't look at all like a simple dataset for a beginner's project: 


First if you want to predict future trends you need to look at time series, which is not the easiest type of method. Additionally our data covers only 2 years, it might be too short for good time predictions.
Your dataset is made of various types of attributes so it will probably require some serious preprocessing work (e.g. description string) in order to make the data usable for a particular task.
Start with plotting your data: volume of sales by country, number of customer by country, most common products, this kind of thing.