Machine Learning with Python

About

Machine learning (ML) is the kind of programming which gives computers the capability to automatically learn from data without being explicitly programmed. This means in other words that these programs change their behavior by learning from data.
We will cover various aspects of machine learning in this tutorial. Of course, everything will be related to Python. So it is Machine Learning by using Python. It might well be that you came to this website when looking for an answer to the question:
What is the best programming language for machine learning?
Python is clearly one of the top players!

Prerequisites
Basics of programming (any language), basics of linear algebra, basics of probability theory.

Course leader

Prof. Nodar Momtselidze Head machine learning expert with business awareness having both computer science and business and management background

Target group

This course is targeted to bachelors, masters, PhD students, lecturers and specialists in Computer Science Statistics, Mathematics, Electrical and Computer Engineering, Industrial Engineering, Material Science and Engineering, Neuroscience, Human-Computer Interaction, Psychology, Business and related disciplines.

Course aim

We will cover in this tutorial on Machine Learning and Python the following topics amongst others:
-k-nearest Neighbor Classifier
-Neural networks
-Neural Networks from Scratch in Python
-Neural Network in Python using NumyPy
-Dropout Neural Networks
-Neural Networks with Scikit
-Machine Learning with Scikit and Python
-Naive Bayes Classifier
-Introduction into Text Classification using Naive Bayes and Python

Fee info