**Program Overview**

This complete Machine Learning full course video covers all the topics that you need to know to become a master in the field of Machine Learning. It covers all the basics of Machine Learning (01:46), the different types of Machine Learning (18:32), and the various applications of Machine Learning used in different industries (04:54:48).This video will help you learn different Machine Learning algorithms in Python. Linear Regression, Logistic Regression (23:38), K Means Clustering (01:26:20), Decision Tree (02:15:15), and Support Vector Machines (03:48:31) are some of the important algorithms you will understand with a hands-on demo. Finally, you will see the essential skills required to become a Machine Learning Engineer (04:59:46) and come across a few important Machine Learning interview questions (05:09:03). Now, let’s get started with Machine Learning.

Below topics are explained in this Machine Learning course for beginners:

- Basics of Machine Learning – 01:46
- Why Machine Learning – 09:18
- What is Machine Learning – 13:25
- Types of Machine Learning – 18:32
- Supervised Learning – 18:44
- Reinforcement Learning – 21:06
- Supervised VS Unsupervised – 22:26
- Linear Regression – 23:38
- Introduction to Machine Learning – 25:08
- Application of Linear Regression – 26:40
- Understanding Linear Regression – 27:19
- Regression Equation – 28:00
- Multiple Linear Regression – 35:57
- Logistic Regression – 55:45
- What is Logistic Regression – 56:04
- What is Linear Regression – 59:35
- Comparing Linear & Logistic Regression – 01:05:28
- What is K-Means Clustering – 01:26:20
- How does K-Means Clustering work – 01:38:00
- What is Decision Tree – 02:15:15
- How does Decision Tree work – 02:25:15
- Random Forest Tutorial – 02:39:56
- Why Random Forest – 02:41:52
- What is Random Forest – 02:43:21
- How does Decision Tree work- 02:52:02
- K-Nearest Neighbors Algorithm Tutorial – 03:22:02
- Why KNN – 03:24:11
- What is KNN – 03:24:24
- How do we choose ‘K’ – 03:25:38
- When do we use KNN – 03:27:37
- Applications of Support Vector Machine – 03:48:31
- Why Support Vector Machine – 03:48:55
- What Support Vector Machine – 03:50:34
- Advantages of Support Vector Machine – 03:54:54
- What is Naive Bayes – 04:13:06
- Where is Naive Bayes used – 04:17:45
- Top 10 Application of Machine Learning – 04:54:48
- How to become a Machine Learning Engineer – 04:59:46
- Machine Learning Interview Questions – 05:09:03

Simplilearn
Author
### Machine Learning Full Course