Machine Learning & Data Science with Python basic course¶
Welcome to Machine Learning & Data Science with Python basic course. The main purpose of this lookout course is to encourage students to apply basic knowledge of statistics, mathematics and Python to start solving real world problems using open source Machine Learning tools. The course is divided in two different parts.
Currently the course provides machine learning assignments based only on scikit learn package.
Notes about the course¶
In this course we will use Python 3.7 and Jupyter Notebook as main tools for conducting exercises. All the work will be conducted on Google Colaboratory, as it’s free to use powerful tool based on Jupyter Notebook, thus you will need a google account to work on this platform. If you’re not familiar with Jupyter Notebook, fill free to checkout this tutorial. The course is VNTU students’ oriented, but everyone can access the notebooks in Colaboratory and work through the course, if you want to do exercises on your local machine you can find the related information in FAQ.
Currently the course doesn’t provide any testing of the exercises.
Basic knowledge requirements¶
The course requires basic knowledge of Python along with its core concepts. In addition an intermediate knowledge of English or at least understanding of technical vocabulary is mandatory.
As the project is an open source, anyone can contribute to it, so feel free to join the development discussion :
On github page of the project .
- How to start with Google Colaboratory
- Data Science with Python
- Machine Learning with Python