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Udemy

Deep Learning Foundation : Linear Regression and Statistics

via Udemy

Overview

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

What you'll 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

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 Ihave 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.

Taught by

Jay Bhatt

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