Machine learning basic specification.

• Company Yandex
• Language Russian
• Programing language Python
• Specification page

Short description

Basic machine learning specification. Includes six course. Contains basic approaches and algorithms for machine learning.

Courses description

• 1 course - Contains mathematical and programing basis.
• 2 course - Supervised learning. Includes linear algorithms, regularization, metrics, overfitting and underfitting problems and etc.
• 3 course - Unsupervised learning. Includes clusterization algorithms, metrics, text processing and thematic modeling.
• 4 course - Statistics. Includes introduction into statistical approaches.
• 5 course - Data analysis applications. Business which can be solved by machine learning approach.
• 6 course - Final projects

Projects description

• 1 Project - Identification user on the internet. Data - list of user's sessions. Target - User id.

• 2 Project - Chunk analyze. Data - Dataset of user one company. Target - Users which will stop use the company serves.

• 3 Project - Time series prediction. Data - Count of rides in New York for 1 year (2016). Target - How many taxi will be needed in each New York district.

• 4 Project - Text semantic analyze. Data - Users review. Target - Classification on positive and negative.