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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

Reviews

3.3 rating at Udemy based on 1362 ratings

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