Getting Started with Machine Learning

Getting Started with Machine Learning, available at $19.99, has an average rating of 4.5, with 18 lectures, 4 quizzes, based on 33 reviews, and has 3123 subscribers.

You will learn about Basics of Machine Learning Building Powerful Machine Learning Models Prerequisites for Machine Learning in 2021 This course is ideal for individuals who are Beginner Python developers curious about Data Science and Machine Learning. It is particularly useful for Beginner Python developers curious about Data Science and Machine Learning.

Enroll now: Getting Started with Machine Learning

Summary

Title: Getting Started with Machine Learning

Price: $19.99

Average Rating: 4.5

Number of Lectures: 18

Number of Quizzes: 4

Number of Published Lectures: 18

Number of Published Quizzes: 4

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Basics of Machine Learning

Building Powerful Machine Learning Models

Prerequisites for Machine Learning in 2021

Who Should Attend

Beginner Python developers curious about Data Science and Machine Learning.

Target Audiences

Beginner Python developers curious about Data Science and Machine Learning.

Get started on an exciting machine learning journey with this course, “Prerequisites for machine learning for 2024”.

Whether you’re a beginner, intermediary or just curious, this course covers the basics you need for a solid start in machine learning. We start by introducing basic machine learning concepts to help you navigate the maze of math and statistics that can seem overwhelming at first for most of the new learners. My goal in this course is to make learning enjoyable and easy to understand, ensuring you are well prepared for the exciting world of machine learning. We then guide you through setting up your development environment on various systems, making sure you’re ready for hands-on learning, the google’s Colab will also be discussed as tool to development ML models in this course. Dive into the math section with easy-to-understand calculations and explanations of linear algebra. Then explore statistics, covering things like probability distribution, bias, and variance, as well as important concepts like mean, median, and mode. By the end of the course, you will not only understand the basics of machine learning, but also feel confident navigating the modern machine learning environment. Join an immersive learning experience and equip yourself with the knowledge to succeed in the ever-evolving world of machine learning..

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is machine Learning?

Lecture 2: Why Machine Learning?

Lecture 3: Introduction to this course

Chapter 2: Environment Setup

Lecture 1: Development Environment Overview

Lecture 2: Setup Development Environment on Window 10

Lecture 3: Setup Development Environment on MacOS

Chapter 3: Important concepts of MATH

Lecture 1: Section Introduction

Lecture 2: Introduction to Linear Algebra & Why its important

Lecture 3: System of Linear Equations

Lecture 4: Vectors for Machine Learning

Lecture 5: Matrices for Machine Learning

Lecture 6: Multivariate Calculus for Machine Learning

Lecture 7: Derivatives in Calculus for Machine Learning

Lecture 8: Integration in Calculus for Machine Learning

Chapter 4: Important Concepts of Statistics

Lecture 1: What is Statistics and why it requires for Machine Learning?

Lecture 2: Statistical Features: Bias & Variance

Lecture 3: Statistical Features: Mean, medians and Mode

Lecture 4: Statistical Features: Probability Distributions

Instructors

Pythonist org
The Python Universe

Rating Distribution

1 stars: 1 votes

2 stars: 0 votes

3 stars: 4 votes

4 stars: 7 votes

5 stars: 21 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!