Apr 4, 2018 · This Linear Regression in Machine Learning Presentation will help you understand the basics of Linear Regression algorithm - what is Linear Regression, why is it needed and how Simple Linear Regression works with solved examples, Linear regression analysis, applications of Linear Regression and Multiple Linear Regression model.

5 days ago · Here we have discussed a variety of complex machine-learning projects that will challenge both your practical engineering skills and your theoretical knowledge of machine learning. 1. Image and Video Processing. 2. Recommendation Systems. 3. Speech and Language Processing. 4. Health and Medical Applications. 5. Security and Surveillance. 6.

Mar 7, 2020 · Key terms discussed include cost functions, gradient descent, confusion matrices, and ROC curves. Code examples are provided to demonstrate implementing linear regression, logistic regression, and SVM in Python using scikit-learn.

Jan 16, 2025 · The code performs quadratic and cubic regression by generating polynomial features from the original data and fitting linear regression models to these features. This enables modeling nonlinear relationships between the independent and dependent variables.

Apr 8, 2019 · This tutorial is designed in a way that in the first part you will learn about the algorithm from scratch with its mathematical implementation, then you will drill down to the coding part and implement linear regression using python. Below are the topics covered in this tutorial: <br><br>1. What is Regression? <br>2. Regression Use-case <br>3.

Sep 24, 2019 · This document discusses different types of regression analysis techniques including linear regression, polynomial regression, support vector regression, decision tree regression, ridge regression, lasso regression, and logistic regression.

Oct 25, 2019 · In this course students will learn the following: How to predict future outcomes basis past data by implementing Simplest Machine Learning algorithm • How to do preliminary analysis of data using Univariate and Bivariate analysis before running Linear regression • Understand how to interpret the result of Linear Regression model and ...

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Feb 22, 2025 · Explore linear models for regression in machine learning, including practical examples and applications in Must-See AI Presentations.

Python has methods for finding a relationship between data-points and to draw a line of linear regression. We will show you how to use these methods instead of going through the mathematic formula. In the example below, the x-axis represents age, and the y-axis represents speed.