Syllabus – What you will learn from this course
1.Introduction
2.Linear Regression with One Variable
3.Linear Algebra Review
4.Linear Regression with Multiple Variables
5.Octave/Matlab Tutorial
6.Logistic Regression
7.Regularization
8.Neural Networks: Representation
9.Neural Networks: Learning
10.Advice for Applying Machine Learning
11.Machine Learning System Design
12.Support Vector Machines
13.Unsupervised Learning
14.Dimensionality Reduction
15.Anomaly Detection
16.Recommender Systems
17.Large Scale Machine Learning
18.Application Example: Photo OCR
Skills you will gain
Logistic Regression
Artificial Neural Network
Machine Learning (ML) Algorithms
Machine Learning
Machine Learning?
- Sign Up on coursera.org
- Subscribe Here(Machine Learning): Click Here
- React Hooks: 10 Best Examples To Learn Hooks In ReactJS
- 40+ The Most Beautiful CSS Blur Background Examples
- 10 Best Web Development Online Courses for Beginners in 2022
- 50+ Excellent JavaScript Carousel Designs You Can Use For Your Next Project
- 10 Bootstrap Cookie Consent Forms – A Unique Tool To Protect The User’s Data
- 10+ Tailwind Cards
- 10+ Chat Box Design Example Made with html css
- 10+ Best CSS Table Design Examples with code
- The Best Javascript music player codepen Example
- Tab Bar Menu Animation Example Using a Javascript
Join Us(Mandatory to Join):
| Follow us on Facebook: | Click Here |
| Follow us on Dev.io: | Click Here |
| Follow us on Twitter: | Click Here |
| Follow us on Quora space | Click Here |
| Follow us on Pinterest: | Click Here |