Machine Learning Essentials using ChatGPT x Python

International Acclaimed Certification x 5-Star Reviews

Suitable for everyone x Learn in an Interactive, Supportive, and Encouraging Environment.

Duration: 1-Day / 8 Hours

Certification: Participants will receive a Certificate of Completion in Machine Learning Essentials upon successfully completing the course.

Who Should Attend: IT professionals, business professionals, Business Managers, Directors and Executives, and Anyone interested in acquiring essential knowledge on what is Machine Learning

Course Objective

• Acquire essential knowledge on Artificial Intelligence, Machine Learning, and their impact on businesses.
• Learn how to use ChatGPT x Python to design simple Machine Learning Models to uncover insights, predict trends, and make the better business decision

Pre-Requisite

No pre-requisite. Machine Learning Essentials (MLE) is suitable for anyone with no prior technological experience

Examination

No Examination

Module 1 Introduction to Machine Learning

Machine learning is a branch of artificial intelligence that enables computers to learn from data and make predictions or decisions without being explicitly programmed. It involves building models and algorithms that can automatically identify patterns and relationships in data to make predictions or take actions.

Topics Covered

•     What is Machine Learning?
•     Importance of Machine Learning
•     Artificial Intelligence vs. Machine Learning vs. Deep Learning
•     Machine Learning and Its Application
•     How to Take Advantage of Machine Learning
•     Challenges and Success Stories of Machine Learning
•     Strongly versus Loosely Enforced Schemas
•     ChatGPT, Future of Machine Learning, and Its Impact on Businesses

Module 2 Different Techniques in Machine Learning

Machine learning can be classified into three types: supervised, unsupervised, and reinforcement learning. In this module, learners will acquire knowledge on the different types of Machine Learning and its Application.

Topics Covered

•     Key Components to a Successful Machine Learning
•     Supervised, Unsupervised, Semi-Supervised, and Reinforcement Learning
•     Common Techniques in Machine Learning
•     Introduction to Regression Methods
•     Application of Regression Methods
•     Practical / Hands-On Exercise on Deploying Regression Methods using ChatGPT x Python

Module 3 Deep Dive into Logistic Regression

Logistic regression is a popular algorithm for binary classification. Learn how to use ChatGPT x Python to cover data preprocessing, model training, and evaluation.

Topics Covered

•     What is Logistic Regression?
•     Key Components to Logistic Regression
•     Application of Logistic Regression
•     Practical / Hands-On Exercise on Logistic Regression using ChatGPT x Python
•     Evaluation of Logistic Regression Model

Machine Learning Essentials (MLE) involves rigorous usage of real-time case studies, hands-on exercises and group discussion