Machine Learning Algorithms | Machine Learning Tutorial | Data Science Algorithms | Simplilearn

This Machine Learning Algorithms video will help you learn what is Machine Learning, various Machine Learning problems and algorithms, key Machine Learning algorithms with simple examples, and use cases implemented in Python. The key Machine Learning algorithms discussed in detail are Linear Regression, Logistic Regression, Decision Tree, Random Forest, and KNN algorithm.

Below topics are covered in this Machine Learning Algorithms Tutorial:
00:00 - 03:39 Machine Learning example and real-world applications
03:39 - 04:40 What is Machine Learning?
04:40 - 06:14 Processes involved in Machine Learning
06:14 - 09:40 Type of Machine Learning Algorithms
09:40 - 10:04 Popular Algorithms in Machine Learning
10:04 - 29:10 Linear regression
29:10 - 52:49 Logistic regression
52:49 - 01:04:45 Decision tree and Random forest
01:04:52 - 01:10:28 K nearest neighbor

#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse

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[mailrafat]

this is undoubtedly one of the best, precise and to the point tutorial videos on any learning site! I've tried many videos, but this has by far taught me the most! thanks so much!

[rickyleung]

Very nice! I'm taking a Machine Learning class on Coursrea and after watching this, I understand more of how to implement the algorithms. The class actually got me confused on how to apply it to daily tasks/projects. Now I have some projects in mind. :D

[nikhilshahare]

Thank you sir for providing such a comprehensive knowledge on ML algorithms. I would like to share that the portion covered in this video is what is asked in most of the data analysis ML interviews. this basics are the building blocks to grow upon.

[prashanthshetkar]

trust me im leaning ML for almost 6 months and nobody explained as clear as this one. thankzz

[sura.saimanikantaprakash]

I subscribed your channel for I like your explanation and your response for providing the dataset for each person separately and reading every comment & solving their doubt's.

[ikechukwunigelogbuchi]

Very easily explained video on machine learning.

[SameerSK]

As always, great quality lectures by SimpliLearn. Thank you!

[theyazzledazzle]

This is a lifesaver. I have learned so much, and it will help me get a ML job.

[sweetykhut]

in linear regression python example when visualising test data you used x_train for predict option . i think you should use x_test . can you explain this please?

[KK-tzow]

I really cannot thank you enough, my great appreciation is owed to you.

[sharkamigo]

I believe in it one day we have the robots around us, which Can learn and do new opportunities for better solutions for All the part of technological Life.

[whytho]

Fir linear regression i used abs(error) instead of sqr(error) and worked just fine

[deepwebtube]

Good explanation ...Thank you! was wondering, why was random state=0 never touched upon?

[rekharaichal]

I am beginner, but able to understand your teaching so well Excellent way of teaching, Thank you very much

[SimplilearnOfficial]

Machine Learning is the Future and yours can begin today. Comment below with your email to get our latest Machine Learning Career Guide. Let your journey begin!

[Sanju_Baba_G]

Very nice presentation and professionally explained each and every points, great thanks !

[SimplilearnOfficial]

Thanks for watching the video. The link for the dataset used in the video is provided in the description. Thanks!

[DataBeach]

I love the simplicity of the content and delivery style. Thanks for producing and sharing this.

[yashikagupta]

It was best course explained so far. Can i get the datasets and python codes?

[michaelsujkowski]

Great video, Need data sets to practice