Deep Learning Foundation : Linear Regression and Statistics udemy course free download
What you'll learn:
- Derive and solve a linear regression model, and apply it appropriately to data science problems
- Program your own version of a linear regression model in Python
Requirements::
- How to take a derivative using calculus
- Basic Python programming
- For the advanced section of the course, you will need to know probability
- For the advanced section of the course, you will need to know the Gaussian distribution
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
Course Details:
- 6.5 hours on-demand video
- 3 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion