DS203BKK
Python for ML
Faculty
Anier Velasco Sotomayor
Lead at the ML Theory group at Cohere for AI Open Science community.
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
The course first covers some general topics about Python, and then shifts into topics oriented to Machine Learning, such as: numerical libraries, data manipulation, machine learning, and plotting libraries.
Learning highlights
- To learn how to use local or remote machines to solve different applied problems (especially in the Data Science domain) using Python and CLI.
- Deep diving into the main concepts of Python: version control, script programming, debugging and profiling.
- Solving basic Data Science problems like Exploratory Data Analysis, ML model training, quality evaluation and model inference.
Course outline
15 classes
Session 1
Unix system basics, bash, ssh, remote machines.
Session 2
Version control.
Git.
Session 3
Environments.
Python installation.
Session 4
Functions, name spaces, decorators.
Session 5
Object oriented programming.
Session 6
Object oriented programming.
Session 7
Exceptions.
Working with file systems.
Python modules and packages.
Session 8
Midterm exam.
Session 9
Numpy and Scipy.
Data types in numpy.
Numerical stability.
Unit tests.
Session 10
Intro to ML.
Basic ML concepts with sklearn.
Naives Bayes, K nearest neighbors, Linear Regression, Decision Trees.
Session 11
Data visuation.
Matplotlib, searborn, plotly, bokeh.
Session 12
Exploratory Data Analysis (EDA) with pandas (step 1).
Session 13
EDA with pandas (step 2).
Session 14
Final practical work.
Session 15
Final project presentation.
Prerequisites
Some introductory courses in Python
Methodology
At the beginning, we will cover some general topics of the language, and then we’ll move to topics more oriented towards data science and machine learning.
Each lesson includes a theoretical part and practical examples to consider aspects of the language and learn how to use it in real data science problems.
Grading
Anier started in computer science by doing programming Olympiads in high school, during which he obtained a gold medal in the Cuban National Olympiad and a bronze medal in the Ibero-American Olympiad in Informatics.
He has a BSc. in Computer Science and Data Science from Harbour.Space University. His main professional interest is Machine Learning Theory Research, and he’s an independent researcher.
See full profileApply for this course
Python for ML
by Anier Velasco Sotomayor
Total hours
45 Hours
Dates
Oct 03 - Oct 21, 2022
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.