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Linear Regression Part 5 | Gradient Descent - Intuition
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Hello Students,
In this series, we are going to learn the different approaches to solve a problem that often encounters in our placements using C++. The following problems we are going to solve in the given series:-
1. Introduction.
2. Basic Intuition.
3. General intuition of OLS.
4. Ordinary Least Squares.
5. Gradient Descent - Intuition.
6. Gradient Descent - Finding the loss function and it's derivative.
7. Gradient Descent - Learning Rate.
8. Gradient Descent - Multi-variable Gradient Descent.
9. Code Example.
10. Regression Metrics, Mean Absolute Error, Root Mean Squared Error.
11. R2 and Adjusted R2, Coefficient of Determination.
12. Polynomial Regression, Intuition and code Example,
About CampusX:
CampusX is an online mentorship program for engineering students. We offer a 6-month long mentorship to students in the latest cutting - edge technologies like Machine Learning, Python, Web Development, and Deep Learning & Neural networks.
At its core, CampusX aims to change this education system of India. We believe that high-quality education is not just for the privileged few. It is the right of everyone who seeks it. Through our mentorship program, we aim to bring quality education to every single student. A mentored student is provided with guidance on how to ace a technology through 24x7 mentorship, live and recorded video lectures, daily skill-building activities, project assignments, and evaluation, hackathons, interactions with industry experts, soft skill training, personal counseling, and comprehensive reports. All we need from you is intent, a ray of passion to learn.
Connect with us:
In this series, we are going to learn the different approaches to solve a problem that often encounters in our placements using C++. The following problems we are going to solve in the given series:-
1. Introduction.
2. Basic Intuition.
3. General intuition of OLS.
4. Ordinary Least Squares.
5. Gradient Descent - Intuition.
6. Gradient Descent - Finding the loss function and it's derivative.
7. Gradient Descent - Learning Rate.
8. Gradient Descent - Multi-variable Gradient Descent.
9. Code Example.
10. Regression Metrics, Mean Absolute Error, Root Mean Squared Error.
11. R2 and Adjusted R2, Coefficient of Determination.
12. Polynomial Regression, Intuition and code Example,
About CampusX:
CampusX is an online mentorship program for engineering students. We offer a 6-month long mentorship to students in the latest cutting - edge technologies like Machine Learning, Python, Web Development, and Deep Learning & Neural networks.
At its core, CampusX aims to change this education system of India. We believe that high-quality education is not just for the privileged few. It is the right of everyone who seeks it. Through our mentorship program, we aim to bring quality education to every single student. A mentored student is provided with guidance on how to ace a technology through 24x7 mentorship, live and recorded video lectures, daily skill-building activities, project assignments, and evaluation, hackathons, interactions with industry experts, soft skill training, personal counseling, and comprehensive reports. All we need from you is intent, a ray of passion to learn.
Connect with us:
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