Machine Learning For Absolute Beginners

Using a Curiosity-Based Learning Method with Gen AI Prompts (Patent-Pending)

What you'll learn

Build a Linear Regression Model

Build an Random Forest Model

Build a KNN Model

Learn some fundamental math around building models and forecasting

Requirements

Ability to understand English and use a browser

Description

This is course geared towards non-technical folks who want to understand use cases of Machine Learning (ML) models and build those models without any prerequisite technical skills. You will have a ready-made environment and you can get going within minutes. With the advent of Gen AI, you don't have to be an engineer to go build a cool app and make mind-blowing predictions that will accelerate your business. Dazzle your C-Suite with your newly acquired model-building skills that allow you to make predictions on your business dataThis course is also suitable for technical folks who have zero knowledge in Machine Learning. It's not suitable for Intermediate or Advanced ML professionals. You will learn various algorithms and also get up to speed on the math behind some of the models. Let your curiosity drive your learning. Let me show you how to transcend beyond the limits of the course to both broaden and deepen your learning. Don't hesitate, start today before someone else beats you to the finish line and gets that big fat bonus that will be waiting for you once you upskill.Machine learning is the present and he future. It's time to leave the old mindsets behind and dive into a whole world of wonder and bewilderment.

Overview

Section 1: Introduction (Modules 1 and 2)

Lecture 1 Introduction

Section 2: Building a Model (Module 3)

Lecture 2 Building a Model

Section 3: Linear Regression (Module 4)

Lecture 3 Building a Linear Regression Model

Section 4: Random Forest (Module 5)

Lecture 4 Random Forest

Section 5: Preview of March Drop - KNN

Lecture 5 Preview of March 2025 Drop

Non-technical folks who are ML-curious and technical folks who want to kickstart their ML journey