Python for Simple, Multiple and Polynomial Regression Models

Published 10/2023
Created by Zeeshan Ahmad
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 41 Lectures ( 6h 43m ) | Size: 2.38 GB

Complete Linear Regression Analysis – Theory, Intuition, Mathematics and Implementation in Python.

What you’ll learn
Python Programming for Regression Analysis
Mathematics and Intuition behind Regression Models
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Ridge Regression
Least Square Regression
Regression by Gradient Descent

Requirements
Basic Knowledge of Mathematics will be helpful

Description
•The focus of the course is to solve Regression problem in python with the understanding of theory and Mathematics as well.• All the mathematical equations for Regression problem will be derived and during coding in python we will code these equations step by step to see the implementation of mathematics of Regression in python.• This course is for everyone. A high school student, a university student anda researcher in machine learning.• The course starts from the fundamentals of Regression and then we willmove on to next levels with a decent pace so that every student can followalong easily.• In this course you will learn about the theory of the Regression,mathematics of Regression with proper derivations and following all thesteps. Finally, you will learn how to code Regression in python by followingthe equations of Regression learned in the theory.Who this course is for ?Students learning Data Science, Machine Learning and Applied Statistical Analytics.Want to switch from Matlab and Other Programming Languages to Python.Students and Researchers who know about the theory of Regression Analysis but don’t know how to implement in Python.Every individual who wants to learn Linear Regression Analysis from scratch.