Deep Learning Foundation : Linear Regression and Statistics

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

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

Deep Learning Foundation : Linear Regression and Statistics udemy course

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

What you'll learn:

  • Derive and solve a linear regression model, and apply it appropriately to data science problems
  • Program your own version of a linear regression model in Python

Requirements:

  • How to take a derivative using calculus
  • Basic Python programming
  • For the advanced section of the course, you will need to know probability
  • For the advanced section of the course, you will need to know the Gaussian distribution

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:

Course Details:

  • 6.5 hours on-demand video
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Deep Learning Foundation : Linear Regression and Statistics udemy free download

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

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