Laboratory work on machine learning

Laboratory work on machine learning:
1 Manual analysis
Analysis of the influence of different types of advertising on sales
Search for the best polynomial regression curve
Linear and logistical regression in classification tasks
Research of the impact of hyperparameter C on any classification
Construction of a naive Baesov classifier for the automation of interviews. Construction of its own implementation of the naive Baesov classifier.
7 Construction of models with trees and forests
8 Application of different cluster methods
Study of the impact of space size reduction by the method of the main components on the quality of classification
Design and training of neural networks
Building an ensemble for the classification of diabetic patients
12 The study of the use of neuronal networks for the prediction of timelines