MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch

Genre: eLearning | Language: English + .srt | Duration: 31 lectures (4 hour) | Size: 1.67 GB

Data science : Learn statistics behind linear regression and build your own working program from scratch in Python.

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

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