"MACHINE LEARNING ON PYTHON" COURSE
3 months / 10 sessions/ certificate
starts June 15 / price from 24.900 rubles
Book a minimum price
starts June 15 / price from 24.900 rubles
Book a minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
"MACHINE LEARNING ON PYTHON" COURSE
3 months / 10 sessions / certificate
starts June 15 / price from 24.900 rubles
Book a minimum price
starts June 15 / price from 24.900 rubles
Book a minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
Course objectives
You will learn machine learning on Python and be able to solve your work project.
- 1Learn how to solve machine learning problems on PythonYou will learn all the main topics of machine learning and will be able to apply these methods in your work to solve an ongoing project or for employment in a new company and a new direction.
- 2Realize your work projectMany projects may require the use of machine learning methods, if you have a similar project, you can implement it as a course.
- 3Get a certificate, recommendation and create a portfolio of projectsUpon completion of the course you will receive a strong certificate and recommendation, as well as a portfolio of several practical tasks that you have solved.
- 4Solve 10 practical machine learning tasksEach lesson will be accompanied by practice - solving a specific task from the field of machine learning.
Training format
From the first day of training with us you will be creating neural networks and solving real problems.
- 10 webinarsEach week you will receive a webinar of more than 3 hours on machine learning.
- 10 practical tasksAfter each lesson you will get a practical task, it will be working with real data and applying machine learning methods to these data.
- 3 months of curator supportDuring the week, you will be able to ask any questions about machine learning and how to perform tasks to your tutor in the common chat.
Training program
Below you can see a short training program
Or take a look at the detailed program
It has descriptions of the webinars and tasks for each webinar.
Or take a look at the detailed program
It has descriptions of the webinars and tasks for each webinar.
Detailed training program
With descriptions of webinars and tasks.
June 15
19:00 Moscow time
19:00 Moscow time
June 15
19:00 Moscow time
19:00 Moscow time
Preparation of data for model building and the simplest algorithms of machine learning
Session topics:
Task: prediction whether or not the animal will be adopted from the DataSet PetFinder (binary classification)
- Primary processing of raw data. The main disadvantages of the source data: "trash", omissions, emissions.
- k- neighbors method
- Processing DataSet Titanic raw data and building a binary classification model
Task: prediction whether or not the animal will be adopted from the DataSet PetFinder (binary classification)
June 22
19:00 Moscow time
19:00 Moscow time
June 22
19:00 Moscow time
19:00 Moscow time
Metrics in binary classification tasks, Bayes classifiers
Session topics:
- Metrics in the tasks of binary classification. Completeness, accuracy, ROC-AUC curve, f-measure
- Bayes Classifiers
- Model building for DataSet Titanic, model quality analysi
June 29
19:00 Moscow time
19:00 Moscow time
June 29
19:00 Moscow time
19:00 Moscow time
Linear models, regression tasks
Session topics:
- Linear regression, least squares method
- The problem of regression and normalization of features
- Model building for DataSet Energy Star Score, model quality analysis
Apply for course
Book a discount and a course as a gift
Apply and your manager will call you back
By clicking the button, I consent to the processing of personal data and agree to the privacy policy.
You will get a certificate
As a result of your training, you will receive a certificate of professional development.
University license
Employment assistance
Certificate
You will receive a profile and status certificate from the "University of Artificial Intelligence" for the "Machine Learning on Python" course listing all the topics and skills you have learned.
Personal
recommendation
recommendation
We give personal recommendations to each participant who requests a recommendation for employment. All references are executed on company letterhead, with a stamp and written individually about each participant.
Partner companies
After completing the course, we can send your resume to our partners, including Sberbank and I-Teco.
You can implement your own project during the course
If you have a work project, a tutor will tell you how to apply the machine training, in 3 months you can solve or significantly advance your task.
Course teacher
Dmitry Ermilov
Education: Moscow State University, Faculty of Mechanics and Mathematics,
PhD in physics and mathematics.
Additional education in machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years experience in machine learning, participated in the development of various projects from the developer to team-lead. Among the projects: creation of an intelligent system for filtering files in a loaded stream, identification of objects in images, word recognition in audio files, development of a model of "smart" data processing of one company.
PhD in physics and mathematics.
Additional education in machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years experience in machine learning, participated in the development of various projects from the developer to team-lead. Among the projects: creation of an intelligent system for filtering files in a loaded stream, identification of objects in images, word recognition in audio files, development of a model of "smart" data processing of one company.
Dmitry Ermilov
Education: Moscow State University, Faculty of Mechanics and Mathematics,
PhD in physics and mathematics.
Additional education in machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years experience in machine learning, participated in the development of various projects from the developer to team-lead. Among the projects: creation of an intelligent system for filtering files in a loaded stream, identification of objects in images, word recognition in audio files, development of a model of "smart" data processing of one company.
PhD in physics and mathematics.
Additional education in machine learning:
- Introduction to machine learning, Higher School of Economics.
- Machine learning, Stanford University.
- Machine learning and data analysis, MIPT.
Experience and projects: More than 4 years experience in machine learning, participated in the development of various projects from the developer to team-lead. Among the projects: creation of an intelligent system for filtering files in a loaded stream, identification of objects in images, word recognition in audio files, development of a model of "smart" data processing of one company.
Apply for course
Photos from our events
We regularly hold both offline classes and conferences
Frequently asked questions
Machine training is not required, everything will be dealt with from scratch.
Python requires a basic knowledge of the language, but we give this course as a gift "Python for data analysis", so it will have everything you need. You will only need to take the first 2-3 lessons to understand the machine learning course.
Python requires a basic knowledge of the language, but we give this course as a gift "Python for data analysis", so it will have everything you need. You will only need to take the first 2-3 lessons to understand the machine learning course.
Everyone can take the course, regardless of their current profession.
However, in general, it will be most useful for programmers, data scientists, those who work with neural networks, analysts (business analysts, financial analysts, marketing analysts, etc.), HR specialists in the IT field, IT managers and entrepreneurs, as well as those engaged in various research.
However, in general, it will be most useful for programmers, data scientists, those who work with neural networks, analysts (business analysts, financial analysts, marketing analysts, etc.), HR specialists in the IT field, IT managers and entrepreneurs, as well as those engaged in various research.
Yes, basic Python knowledge is required for this course, but you can get the "Python for Data Analysis" course as a gift and get ready before the course starts. As soon as you pay, we will enroll you in the Python course.
No math knowledge is required, we will give you all the necessary mathematics during the course.
Yes, the whole course is built remotely, moreover, you can watch the lessons on record, we specially build the course so that you can study anytime and anywhere.
In order to obtain a certificate, you will need to submit all the training assignments, preferably before the course is completed, but you can also do so some time after the course is finished.
Yes, many of our course participants are paid by the company, we can prepare a KP for your management.
Yeah, we have installment payment system from a few banks with no interest or down-payment.
"Basic" plan
24,900 rubles
24,900 rubles
- 10 webinars
- 10 workshops
- 10 tasks
- 3 months of tutor support
- Certificate
- "Python for data analysis" course as a gift
| Pay 24.900 rubles. |
"Python for data analysis" course
- 150 mini-sessions recordings
- 2Practical tasks
- 33 months of curator support
- 4Certificate
- 5Starts June 15
Our manager will answer any questions about the course
- Artem Voronov-GashevCustomer service managerEmail: info@neural-university.ru
Phone: +7 (499) 648-67-44
Whatsapp/viber/telegram:
+7(918) 916-41-84
"MACHINE LEARNING ON PYTHON" COURSE
3 months / 10 sessions / certificate
starts June 15 / price from 24.900 rubles
Book a minimum price
starts June 15 / price from 24.900 rubles
Book a minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.
"MACHINE LEARNING ON PYTHON" COURSE
3 months / 10 sessions / certificate
starts June 15 / price from 24.900 rubles
Book a minimum price
starts June 15 / price from 24.900 rubles
Book a minimum price
By clicking the button, I consent to the processing of personal data and agree to the privacy policy and the offer agreement.