What is Machine Learning? | How Machine Learning Works | Machine Learning Tutorial | Eckovation

This Eckovation's Machine Learning video on "Complete Machine Learning Course" will provide you with detailed and comprehensive knowledge of Machine Learning. It will provide you with the in-depth knowledge of the different types of Machine Learning with the different algorithms that lie under each category with a demo for each algorithm and the approach one should take to solve these problems.

The topics covered in this video of Introduction to Machine Learning Course are:

1. Introduction
2. Project: Cost of Flats
3. Linear Regression
4. Polymer Regression
5. Project: Spam Email Filter and App Recommendation
6. Neural Network
7. Deep Learning

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#MachineLearning #MachineLearningTutorial #MachineLearningBasics #MachineLearningApplications #DeepLearning #NeuralNetworks

How does Eckovation's Online Certification Course Work?
1. 4-8 week course with over 20 hours of Projects and Assignments
2. One-on-one discussions with the instructor and the community for better understanding
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

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About the Machine Learning Value Package:
The whole world has been in a constant change since the release of computers and internet! They used to be an extra hand to the capabilities of the human mind since last couple of decades.
Recently, with the advances in the power of computers and ease of access to the large amount of intformation, it has been made possible to run special algorithms on these tufts of data!
How Machine learning works – With the availability of tremendous amount of DATA and the ease in accessing them, it is possible to make the computers learn to take decisions. Once we have enough data, ML algorithms are employed based on this data and we get nearly accurate results through prediction. As more data is accumulated, the accuracy improves. Accurate algorithms are then created and data-driven predictions are obtained. You will see in details how this actually happens during this course.
This course gives you COMPLETE know how of Python & Machine Learning, and hence making your confident enough to launch your career in the world of ML and AI.

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What is covered in this course?
1. Python Programming Language
2. Introduction to Machine Learning
3. Supervised and Unsupervised Learning
4. Linear regression
5. Logistic regression
6. Polynomial regression
7. Multivariate regression
8. Decision Tree
9. Random Forest
10. Support Vector Machines
11. Principal Component Analysis
12. Linear Discriminant Analysis
13. Hierarchical Clustering
14. k-means clustering
15. k-mode clustering
16. Naive Bayes Classification
17. Deep Learning Concepts
18. Capstone Project

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[mukulm]

after completing the course where will get the internship?