100% Free Machine Learning Course

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?

1. Sign Up on coursera.org
2. Subscribe Here(Machine Learning): Click Here

---

• 9 BOOTSTRAP RADIO BUTTON
• Best Free 10 Bootstrap icons Example
• Check Out Best 10 Bootstrap Carousel Example
• The Best 9 Bootstrap Datepicker Example
• The Best 10+ CSS 3D BUTTON
• The Best 30+ Radio Button CSS style Examples – GSCODE
• The Best 50+ CSS BUTTONS – GS CODE
• The Best 20+ CSS tabs Example – GSCODE
• The Best 10+ CSS SELECT BOX – GSCODE
• The Best 30+ CSS HOVER EFFECTS -GSCODE

---

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