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Deep Learning Foundation : Linear Regression and Statistics

Is statistics the foundation on top of which machine learning is built? Is machine ... "Traditional" linear regression may be considered by some Machine Learning ...

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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


Online Course CoupoNED
Online Course CoupoNED I am very happy that there are bloggers who can help my business

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