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Introduction to Machine Learning: Classification Techniques - Part 2

Offered By: Data Science Festival via YouTube

Tags

Machine Learning Courses Data Science Courses Supervised Learning Courses Statistical Analysis Courses Classification Courses Predictive Modeling Courses Logistic Regression Courses K-Nearest Neighbors Courses

Course Description

Overview

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Dive into Part 2 of the Introduction to Machine Learning series with a 58-minute webinar focused on Classification, presented by Rashid Muhamedrahimov and Enrico Alemani from Compass Lexecon's Data Science team. Gain a foundational understanding of classification techniques, explore logistic regression including training and model assessment, and delve into the intricacies of KNN classification methods. Originally part of the Data Science Festival Summer School 2021, this informative session offers valuable insights for data enthusiasts looking to expand their knowledge in machine learning and classification algorithms.

Syllabus

Introduction to Machine Learning (Part 2) – Classification


Taught by

Data Science Festival

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