CS402BKK
Python Programming - 1
Faculty
Igor Slinko
Computer Vision Engineer at SportTotal.tv
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
The course consists of two parts:
1) a repetition of basic Python, where we will remember how to write functions, implement classes, catch exceptions, read and write files.
2) study of specialised libraries for data analysis - starting with libraries for reading / writing XML, JSON, CSV, YAML, reading SQL databases from Python. Ending with libraries for changing and visualising data. The course will end with a case of using the CatBoost library in application to the classification problem
Learning highlights
- Data manipulation
- Data visualization
- Data pre-processing
Course outline
15 classes
Intro
Machine Learning with Python
Basic Python Recap
- Reading/writing files in Python
- Python libraries (modules).
- Installing new modules via pip.
Basic Python Recap
Exceptions, Call Stack
Classes and objects
Basic Python Recap
Iterators and generators
List comprehensions
Decorators
Data Types
reading JSON, XML, YAML SQLAlchemy
Data Parsing
Internet data parsing with “requests” and “beautiful soup”
Data manipulation
Pandas. Reading .csv files, Titanic dataset
Manipulating the dataset in a number of ways
Practice session
Practice session
Data visualisation
Matplotlib
seaborn
Practice session
Practice session
Git
Example of running custom code from Github
Practice session
Practice session
CatBoost
CatBoost library for machine learning on tabular data
Practice session
Practice session
Final Exam
Final Exam
Course materials
Media
Methodology
This course is very practical: we won’t spend a minute looking at PowerPoint presentations. All the material will be given as code examples and code assignments. We’ll have plenty of class practice with live testing. Tasks that are not done in the classroom are converted into homework. It might be complicated first, but you’ll learn how to think in Python.
Grading
Ex. Samsung AI Center, Yandex, VK, Brickit.app, OneSoil Master of Computer Science at MIPT
Igor Slinko obtained a Master's degree in Mathematics and Computer Science at MIPT (Moscow). After that, he worked as C++ and Python developer at Yandex. Several years later he turned his attention to Data Science and Computer Vision. He switched to a researcher position at Mail.ru, and also started teaching Machine Learning at HSE (Moscow). Then he became team lead at a newly developed Samsung AI Center, where he developed Computer Vision algorithms in Robotics. He also collaborated with Michael Romanov to create an open course called "Neural Networks and Computer Vision" which amassed an audience of 50k students.
See full profileApply for this course
Python Programming - 1
by Igor Slinko
Total hours
45 Hours
Dates
Sep 13 - Oct 01, 2021
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.