Udemy

Fundamentals of Machine Learning Regression

Master the Fundamentals of Regression Techniques in Machine Learning: SciKit Learn and Pandas Essentials
Free tutorial
Rating: 4.5 out of 5 (32 ratings)
1,762 students
46min of on-demand video
English
English [Auto]

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.

Requirements

  • Beginnner Python Experience Helps

Description

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.

Who this course is for:

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

Instructor

Your #1 Resource for STEM Excellence.
  • 4.1 Instructor Rating
  • 57 Reviews
  • 3,324 Students
  • 3 Courses

ViSTEM was founded to address the challenge of providing accessible and comprehensive educational resources in the STEM space.


We recognize that while educational content is available, it is often scattered across various platforms, making it difficult for individuals to gain a complete and cohesive understanding of a subject. To fully master a STEM discipline, one would traditionally need to navigate through numerous disparate sources.


ViSTEM is dedicated to consolidating and expanding the breadth and depth of educational content available in STEM. Our goal is to offer a single, reliable destination where learners can find extensive and integrated resources, empowering them to achieve a comprehensive and profound education in STEM fields.

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