Complete Linear Regression in Python Statistics and Coding

Complete Linear Regression in Python Statistics and Coding

Complete Linear Regression in Python Statistics and Coding

Linear Regression gradient descent both statistics and python coding focused on interview questions for data science

What you’ll learn

Linear regression statistics basics
Assumptions of linear regression hypothesis testing sampling
Program your own version of a linear regression model in Python
Derive and solve a linear regression model, and apply it appropriately to data science problems

Complete Linear Regression in Python Statistics and Coding

Requirements

Jupyter notebook and simple python programming

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.

Who this course is for:

Python developers curious about data science
data science and machine leaning engineers

Course information :

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 18 lectures (1 hour, 23 mins) | Size: 895 MB

Course Link :

https://www.udemy.com/course/linear-regression-in-python-statistics-and-coding/

Key words :

Course Complete Linear Regression in Python Statistics and Coding.

Udemy Complete Linear Regression in Python Statistics and Coding.

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