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This video takes a dive into the linear models of the scikit-learn library in Python. In this you will learn about Simple Linear Regression along with its code. You will also learn about certain metrics from the library to evaluate the model.
Timestamps for Important Keypoints:
00:00:00 Getting started with Linear Regression
00:00:24 Pre-requisites
00:01:02 Linear Regression Introduction
00:01:58 Simple Linear Regression
00:04:44 Simple Linear Regression - Code
00:07:42 Exploratory Data Analysis
00:12:40 Pre-processing
00:14:35 Train-Test split
00:18:01 Training the Model
00:20:20 Predicting using the Model
00:21:32 Manual Function for Equation
00:22:22 Prediction using the User-Defined Function
00:27:20 Evaluating the Model
CodersArts offers expert assistance for students and professionals looking to improve their understanding and skills in machine learning. Our assignment help service includes in-depth guidance on linear regression using the popular Scikit learn library. Our team of experienced tutors and developers will work with you to understand the concepts and apply them to real-world problems. Whether you're a beginner or an advanced learner, we'll help you achieve your goals and excel in your studies or projects. With CodersArts, you'll have the support you need to master machine learning and linear regression in Scikit learn.
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