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Deep Learning Foundation : Linear Regression and Statistics
Learn linear regression from scratch, Statistics, R-Squared, Python, Gradient descent, Deep Learning, Machine Learning
₹1999
This Course Includes
udemy
4.7 (1.4K reviews )
7 total hours 
english
Online - Self Paced
course
Udemy
About Deep Learning Foundation : Linear Regression and Statistics
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.
What You Will 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.