Artificial Intelligence & Data Science
Star icon
Most Popular
Hands on Training icon
Hands On Training
Star icon
Hands on Training icon

6 Hour Live Training on Supervised Machine Learning for Data Science For Beginners and Professionals

Course Cover
compare button icon

Course Features

icon

Duration

6 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Beginner

icon

Teaching Type

Instructor Paced

icon

Video Content

6 hours

Course Description

We will learn Machine Learning in a simplistic, detailed, and fun way. We take a deep dive into Supervised Machine Learning Algorithms and a brief overview of Unsupervised Learning. entertaining explanation of Regression, Classification, Clustering By the end of the Workshop you will have learned indepthly about Machine Learning and code some machine learning projects to use in your portfolio!PART 1: Overview of Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement LearningPART 2: Supervised Learning (Logistic vs Linear Regression)PART 3: Setup GithubPART 4: Setup Google Colab for PythonPART 5: Code in Python (create linear regression Supervised Machine Learning model)PART 6: Export project into GithubPART 7: Supervised Learning (Binary, Multiclass, and Ordinal Classification)PART 8: Supervised Learning (How to analyze a Machine Leaning model)PART 9: Code in Python (create classification Supervised Machine Learning model)PART 10: Export project in Github

Course Overview

projects-img

Live Class

projects-img

Virtual Labs

projects-img

Human Interaction

projects-img

Personlized Teaching

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training,Instructor-Moderated Discussions

projects-img

Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

No Experience Required

What You Will Learn

To learn what Machine Learning actually is and algorithms

Target Students

This workshop is for Beginners, Students, and Emerging Professionals in the field of Data Science.

Course Cover