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2022 Python for Linear Regression in Machine Learning

Description

This course teaches you an in-depth evaluation of Linear Regression. We cowl the speculation and coding half collectively for higher understanding. You’ll learn to do an exhaustive evaluation of machine studying fashions. We’ll present you result-oriented methods to spice up the accuracy of your machine studying fashions. This course teaches you all the pieces it is advisable create an correct Linear Regression mannequin in Python.

You need to have an introductory data of Python earlier than enrolling in this course in any other case please don’t enroll in this course.

After finishing this course it is possible for you to to:

What is roofed in this course?

This course teaches you, step-by-step coding for Linear Regression in Python. The Linear Regression mannequin is without doubt one of the extensively used in machine studying and it’s one the only ones, but there may be a lot depth that we’re going to discover in 14+ hours of movies.

Beneath are the course contents of this course:

  • Part 1- Introduction

    This part will get you to get began with the setup. Obtain sources information for code alongside.

  • Part 2- Python Crash Course

    This part introduces you to the fundamentals of Python programming.

  • Part 3- Numpy Introduction

    This part is optionally available, you could skip it however I’d suggest you to look at it in case you are not comfy with NumPy.

  • Part 4- Pandas Introduction

    This part introduces you to the fundamental ideas of Pandas. It can allow you to later in the course to compensate for the coding.

  • Part 5- Matplotlib Introduction

    Don’t skip this part. We will likely be utilizing matplotlib plots extensively in the approaching sections. It builds a basis for a powerful visualization of linear regression outcomes.

  • Part 6- Linear Regression Introduction

    We’ll kick-start our Linear Regression studying. You’ll study the fundamentals of linear regression. You will note some examples so as to perceive how Linear Regression works and tips on how to analyze the outcomes.

  • Part 7- Knowledge Preprocessing for Linear Regression

    This part is a very powerful part. DO NOT SKIP IT. It builds the inspiration of knowledge preprocessing for linear regression and different linear machine studying fashions. You may be studying, what are the methods which we are able to use to enhance the efficiency of the mannequin. Additionally, you will learn to verify in case your knowledge is satisfying the coding of Linear Mannequin Assumptions.

  • Part 8- Machine Learning Fashions Interpretability and Explainer

    This part teaches you tips on how to open-up any machine studying fashions. Now you needn’t deal with machine studying fashions as black-box, you’ll get to learn to open this field and tips on how to analyze every part of machine studying fashions.

  • Part 9- Linear Regression Mannequin Optimization

    This part extensively makes use of the data of earlier sections so do not skip these. You’ll study numerous methods to enhance mannequin efficiency. We’ll present you tips on how to do outliers removing and have transformations.

  • Part 10- Function Choice for Linear Regression

    This part teaches you a number of the greatest methods of characteristic choice. Function choice reduces the mannequin complexity and possibilities of mannequin overfitting. Generally the mannequin additionally will get skilled quicker however largely is dependent upon what number of options are chosen and the sorts of machine studying fashions.

  • Part 11- Ridge & Lasso Regression, ElasticNet, and Nonlinear Regression

    This part covers, numerous sorts of regression methods. You may be seeing tips on how to obtain the most effective accuracy through the use of the above methods.

By the top of this course, your confidence will enhance in creating and analyzing the Linear Regression mannequin in Python. You will have an intensive understanding of tips on how to use regression modeling to create predictive fashions and resolve real-world enterprise issues.

How this course will allow you to?

This course gives you a really strong basis in machine studying. It is possible for you to to make use of the ideas of this course in different machine studying fashions. If you’re a enterprise supervisor or an government or a pupil who desires to study and excel in machine studying, that is the proper course for you.

What makes us certified to show you?

I’m a Ph.D. in Machine Learning and taught tens of 1000’s of scholars through the years via my courses at IIT and KGP Talkie YouTube channel. Few of my programs are a part of Udemy’s high 5000 programs assortment and curated for Udemy Enterprise. I promise you’ll not remorse it.


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