Applied Machine Learning Online Course · Module 1: Fundamentals of Programming · Module 2: Data Science: Exploratory Data Analysis and Data Visualization

Syllabus and Course Schedule ; Lecture 1, Thursday Jan 11, Section Topics: The AI world; Logistics of the course; Presentation of the Syllabus ; Homework Due ...

Topics covered include (1) dimensionality reduction, principal components, and factor models; (2) shrinkage estimation methods, such as Ridge and. Lasso (with ...

Course Objectives: This course will teach students model development and prediction with machine learning algorithms using ScikitLearn open source library.

This unit equips students with the essential skills to implement applied machine learning projects. It focuses on techniques and methods used in real world ...

Machine learning workflow. Basic machine learning techniques. Data preparation and pre-processing. Practical and technical aspects for applying machine learning ...

We will briefly study the underlying principles of diverse machine learning approaches such as anomaly detection, ensemble learning, deep learning with a neural ...

The students will master concepts such as learning from data, feature selection, regression, classification, clustering, and modes of learning such as ...

This course will equip the students with knowledge and a set of practical tools that can be applied to solve real-world machine learning problems. This ...

Оценка 4,7 (100) · 250,00 $ We will cover the basics of machine learning, how to build machine learning models, improve and deploy your machine learning models.