Machine Learning Full Course
Learn Machine Learning | Machine Learning Tutorial
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/folder…
Below topics are explained in this Machine Learning course for beginners:
Table of contents
Basics of Machine Learning
Why Machine Learning
What is Machine Learning
Types of Machine Learning
Supervised VS Unsupervised
Introduction to Machine Learning
Application of Linear Regression
Understanding Linear Regression
Multiple Linear Regression Logistic Regression
What is Logistic Regression
What is Linear Regression
Comparing Linear & Logistic Regression
What is K-Means Clustering
How does K-Means Clustering work
What is Decision Tree
How does Decision Tree work
Random Forest Tutorial
Why Random Forest
What is Random Forest
How does Decision Tree work-
K-Nearest Neighbors Algorithm Tutorial
Why KNN What is KNN
How do we choose ‘K’
When do we use KNN
Applications of Support Vector Machine
Why Support Vector Machine
What is Support Vector Machine
Advantages of Support Vector Machine
What is Naive Bayes
Where is Naive Bayes used
Top 10 Application of Machine Learning
How to become a Machine Learning Engineer
Machine Learning Interview Questions