Udemy

Platform

English

Language

IT Certification

Category

Deep Learning Foundation : Linear Regression and Statistics

Learn linear regression from scratch, Statistics, R-Squared, Python, Gradient descent, Deep Learning, Machine Learning

4.99 (591 reviews)

6155

Students

6 hours

Content

Nov 2020

Last Update
$19.99
Regular Price

What you will learn

Mathematics behind R-Squared, Linear Regression,VIF and more!

Deep understating of Gradient descent and Optimization

Program your own version of a linear regression model in Python

Derive and solve a linear regression model, and implement it appropriately to data science problems

Statistical background of Linear regression and Assumptions

Assumptions of linear regression hypothesis testing

Writing codes for T-Test, Z-Test and Chi-Squared Test in python




Description

Hi Everyone welcome to new course which is created to sharpen your linear regression and statistical basics. linear regression is starting point for a data science this course focus is on making your foundation strong for deep learning and machine learning algorithms. In this course I have explained hypothesis testing, Unbiased estimators, Statistical test , Gradient descent. End of the course you will be able to code your own regression algorithm from scratch.


Screenshots

Deep Learning Foundation : Linear Regression and Statistics
Deep Learning Foundation : Linear Regression and Statistics
Deep Learning Foundation : Linear Regression and Statistics
Deep Learning Foundation : Linear Regression and Statistics

Content

Introduction

Introduction

Linear Regression prerequisites

Linear Regression prerequisites: statistics

What is hypothesis

Unbiased sample estimator

Histogram and Distributions

P-Value and Testing hypothesis

Normal Distribution Yet another example

Statistical Tests

T- Test

T-test in python

Z- Test

Chi-Square Test

Introduction to Linear Regression

Linear Regression Introduction



Reviews

E
Eric4 December 2020

A very good introduction to linear regression. The implementation of all the concepts from the ground up in code is an excellent way to drive home the concepts. My only complaint/wish would be to have a small section addressing the assumptions of linear regression, parts of which I feel were slightly glossed over.

T
Tyler4 December 2020

This course is a great combination of hands on experience and in depth theoretical explanation of the mathematical concepts.

J
Jonathan4 December 2020

Course was a great match. Jay has the right approach of doling out math and theory, (no matter how difficult) and then correlate it to coding.

W
William4 December 2020

This course is exactly what I was looking for. The instructor does an impressive job making students understand they need to work hard in order to learned. The examples are clear, and the explanations of the theory is very interesting.

A
Anthony4 December 2020

This is a great course! It covers theory, math, intuition, and coding implementation of linear regression in Python.

S
Simon13 September 2020

Delivery is a bit slow. The concept are covered in detail with examples. Overall a good course for basics as well as beginner programming



3279622

Udemy ID

6/29/2020

Course created date

7/3/2020

Course Indexed date
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