Machine Learning Full Course | Learn Machine Learning | Machine Learning Tutorial | Simplilearn

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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, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will help you learn different Machine Learning algorithms in Python. Linear Regression, Logistic Regression, K Means Clustering, Decision Tree, and Support Vector Machines 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 and come across a few important Machine Learning interview questions. Now, let's get started with Machine Learning.

Dataset Link - https://drive.google.com/drive/folders/15lSrc4176J9z9_3WZo_b91BaNfItc2s0

Below topics are explained in this Machine Learning course for beginners:
0:00 Table of contents
01:46 Basics of Machine Learning
09:18 Why Machine Learning
13:25 What is Machine Learning
18:32 Types of Machine Learning
18:44 Supervised Learning
21:06 Reinforcement Learning
22:26 Supervised VS Unsupervised
23:38 Linear Regression
25:08 Introduction to Machine Learning
26:40 Application of Linear Regression
27:19 Understanding Linear Regression
28:00 Regression Equation
35:57 Multiple Linear Regression
55:45 Logistic Regression
56:04 What is Logistic Regression
59:35 What is Linear Regression
01:05:28 Comparing Linear & Logistic Regression
01:26:20 What is K-Means Clustering
01:38:00 How does K-Means Clustering work
02:15:15 What is Decision Tree
02:25:15 How does Decision Tree work
02:39:56 Random Forest Tutorial
02:41:52 Why Random Forest
02:43:21 What is Random Forest
02:52:02 How does Decision Tree work-
03:22:02 K-Nearest Neighbors Algorithm Tutorial
03:24:11 Why KNN
03:24:24 What is KNN
03:25:38 How do we choose 'K'
03:27:37 When do we use KNN
03:48:31 Applications of Support Vector Machine
03:48:55 Why Support Vector Machine
03:50:34 What Support Vector Machine
03:54:54 Advantages of Support Vector Machine
04:13:06 What is Naive Bayes
04:17:45 Where is Naive Bayes used
04:54:48 Top 10 Application of Machine Learning
04:59:46 How to become a Machine Learning Engineer
05:09:03 Machine Learning Interview Questions

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About Simplilearn Machine Learning course:
A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.

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