Analyzing Data with Python (edX project)
Final assigment of the course IBM: DA0101EN Analyzing Data with Python.
Description
The goal was to analyze and predict alcohol consumption by country using features such as beer servings and wine servings.
We were given one data set
world_drink_habits.csv. All the data analysis was done with this data
| country | beer_servings | spirit_servings | wine_servings | total_litres_of_pure_alcohol | continent | |
|---|---|---|---|---|---|---|
| 0 | Afghanistan | 0 | 0 | 0 | 0.0 | Asia |
| 1 | Albania | 89 | 132 | 54 | 4.9 | Europe |
| 2 | Algeria | 25 | 0 | 14 | 0.7 | Africa |
| … (193x6) |
The specific tasks involved a bit of pre-processing, descriptive analysis and fitting and evaluating various regression models.
The complete code is available here
Comments
- We were given hints and instructions in many steps, so it wasn’t so difficult to complete. However, this project served very well as practice and to develop the data analyst mindset (how to structure the process of analysis)