Deep Learning Foundation : Linear Regression and Statistics

Learn linear regression from scratch, Statistics, R-Squared, VIF, Gradient descent, Data Science Deep Learning in Python
Rating: 4.9 out of 5 (81 ratings)
3,078 students
Deep Learning Foundation : Linear Regression and Statistics
Rating: 4.9 out of 5 (81 ratings)
3,078 students
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


  • Jupyter notebook and simple python programming


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

Course content

4 sections • 20 lectures • 1h 58m total length
  • Introduction
  • community message


Data Scientist by Profession Instructor by Passion
Jay Shankar Bhatt
  • 4.8 Instructor Rating
  • 405 Reviews
  • 21,444 Students
  • 3 Courses

Hi my name is Jay working as data scientist in a leading MNC, I have completed my masters degree adv mathematics and FEM . I love making educational video and content. check out my you-tube channel and all udamy tutorial and stay updated with new techniques of data science and machine learning. Hope you will enjoy this lovely journey of Data science and machine learning.