Fundamentals of Machine Learning Regression

Fundamentals of Machine Learning Regression, available at Free, has an average rating of 4.62, with 10 lectures, 1 quizzes, based on 13 reviews, and has 920 subscribers.

You will learn about Grasp the fundamental concepts of regression and its importance in predicting continuous outcomes Implement and evaluate models to solve real-world problems Learn data preprocessing techniques, including data cleaning and transformations using pandas Learn to evaluate regression models using metrics such as R² Score to assess model accuracy and performance. Understand the importance of splitting data into training and testing sets to validate model performance Learn how to build and implement linear regression models using SciKit Learn to predict target variables based on input features. Understand the key differences between classification and regression tasks, including their objectives and different real world applications Learn to build and implement decision tree models for regression using SciKit-Learn ain knowledge of SVMs and how to apply them for regression tasks, including the concepts of hyperplanes and margins. This course is ideal for individuals who are Beginners in programming and new to the field of machine learning or Those who are new to the field of machine learning It is particularly useful for Beginners in programming and new to the field of machine learning or Those who are new to the field of machine learning.

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Summary

Title: Fundamentals of Machine Learning Regression

Price: Free

Average Rating: 4.62

Number of Lectures: 10

Number of Quizzes: 1

Number of Published Lectures: 10

Number of Published Quizzes: 1

Number of Curriculum Items: 11

Number of Published Curriculum Objects: 11

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Grasp the fundamental concepts of regression and its importance in predicting continuous outcomes
Implement and evaluate models to solve real-world problems
Learn data preprocessing techniques, including data cleaning and transformations using pandas
Learn to evaluate regression models using metrics such as R² Score to assess model accuracy and performance.
Understand the importance of splitting data into training and testing sets to validate model performance
Learn how to build and implement linear regression models using SciKit Learn to predict target variables based on input features.
Understand the key differences between classification and regression tasks, including their objectives and different real world applications
Learn to build and implement decision tree models for regression using SciKit-Learn
ain knowledge of SVMs and how to apply them for regression tasks, including the concepts of hyperplanes and margins.

Who Should Attend

Beginners in programming and new to the field of machine learning
Those who are new to the field of machine learning

Target Audiences

Beginners in programming and new to the field of machine learning
Those who are new to the field of machine learning

Artificial Intelligence (AI) is transforming industries and revolutionizing the way we live and work. To stay ahead in this rapidly evolving landscape, it’s crucial to understand and harness the power of machine learning. Our course, Intro to Fundamentals of Machine Learning Regression, is your gateway to mastering the fundamentals of machine learning regression algorithms.

What You’ll Learn:

Core Regression Algorithms: Delve into the principles and applications of linear regression, support vector machine and decision trees.
Model Evaluation Techniques: Learn to evaluate your models’ performance using essential metrics, ensuring accuracy and reliability.
Data Preprocessing with pandas: Acquire the basic skills to clean and transform data, a vital step in any machine learning project.
Hands-On Practice: Engage in interactive code-along sessions to apply theoretical knowledge and gain practical experience.

Why This Course?

Our course offers high-quality content designed to be both comprehensive and engaging. Each lesson features meticulously crafted presentations and interactive code-along sessions, ensuring you not only understand the theory but can also implement it effectively.

Who Should Join:

Beginners in Machine Learning: This course is perfect for those new to the field, providing a solid foundation in regression techniques and data preprocessing.
Experienced Programmers: Expand your programming expertise by integrating basic machine learning concepts and practices.
Data Science Enthusiasts: Enhance your data analysis skills and learn to build effective regression models.
Students and Professionals: Apply machine learning regression in academic projects or professional scenarios to solve real-world problems.

Course Highlights:

High-Quality Presentations: Our lectures are designed to simplify complex concepts, making them accessible and engaging.
Interactive Code-Alongs: Follow along with practical coding sessions that reinforce your learning through hands-on practice.
Comprehensive Coverage: From theoretical foundations to practical implementations, this course covers all aspects of machine learning regression.

Don’t miss the opportunity to adapt to the AI-driven future. Enroll in Fundamentals of Machine Learning Regression today and take the first step towards mastering machine learning regression techniques.

Course Curriculum

Chapter 1: Introduction

Lecture 1: AI Overview

Lecture 2: Understanding Artificial Intelligence (AI) and Machine Learning (ML)

Lecture 3: Classification vs Regression

Chapter 2: Regression

Lecture 1: Note (READ BEFORE WATCHING THE NEXT VIDEOS)

Lecture 2: Data Preprocessing

Lecture 3: Linear Regression: Theory & Implementation

Lecture 4: Support Vector Machine: Theory & Implementation

Lecture 5: Decision Trees: Theory & Implementation

Lecture 6: Model Evaluation & Prediction

Lecture 7: Next Steps

Instructors

ViSTEM: Empowering Minds
Your #1 Resource for STEM Excellence.

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1 stars: 0 votes
2 stars: 1 votes
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4 stars: 4 votes
5 stars: 8 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!

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