Deep Learning Foundation : Linear Regression and Statistics

Learn linear regression from scratch, Statistics, R-Squared, VIF, Gradient descent, Data Science Deep Learning in Python

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

Requirements
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
Deep Learning Foundation : Linear Regression and Statistics Download

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

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