Building Machine Learning Models Workshop

Description

This deep-dive course gives you the necessary hands-on experience to design and evaluate machine learning models. We start by managing datasets and applying data engineering best practices to transform the data into a learnable state. Then, we build intelligent models on the top of these datasets and validate them against our business goals. The hands-on labs enable you to manage the end-to-end lifecycle of a machine learning (ML) project.

Target

This course is ideal for software engineers, IT professionals, data engineers, database professionals, developers and testers, solution architects, AI and automation enthusiasts, statisticians and other professionals looking to build machine learning capabilities.

Contents

At the end of this training, you will be able to: • Understand and apply various ML algorithms • Apply techniques to build intelligent systems • Gain knowledge of supervised and unsupervised learning, • Learn how to evaluate and improve the performance of models • Apply exploratory data analysis (EDA) and feature engineering techniques

Prerequisites

Basic understanding of any programming or scripting language

Study Materials