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5 Solved end-to-end Data Science Projects in Python
Beginner and advanced Python data science projects with source code.
If you’ve been studying data science for a while, you might know that in order to learn data science you need to learn math, statistics, and programming. This is a good start for anyone interested in data science, but do you know how to get even more exposure to data science?
It’s with projects! A project will help you put into practice all the knowledge you’ve acquired from math, statistics, and programming. So far you might’ve seen each of them individually, but after you finish a project, the concepts you’ve learned in each field will make more sense.
In this article, I listed some end-to-end data science projects you can do with Python. The projects are listed by difficulty, so the beginner projects are in the beginning, while the advanced projects are at the end of the article.
Note: Most projects listed in this article require a fair knowledge of Python. You should at least know the basics of libraries such as Pandas, Numpy, and Scikit-learn, etc. I’m going to leave the source code of each project as well as a guide of the libraries used in each project. If you are still a beginner in Python, I recommend you start with basic Python projects first.
