Random Forest Algorithm - Random Forest Explained | Random Forest in Machine Learning | Simplilearn

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This Random Forest Algorithm tutorial will explain how the Random Forest algorithm works. By the end of this video, you will be able to understand what is Machine Learning, what is a Classification problem, applications of Random Forest, why we need Random Forest, how it works with simple examples, and how to implement a Random Forest algorithm in Machine Learning. This video is a part of the Machine Learning with Python Series.

Below are the topics covered in this Random Forest Algorithm tutorial:
00:00 - 02:08 Applications of Random Forest Algorithm
02:08 - 02:59 Agenda
02:59 - 04:07 Classification Algorithms
04:07 - 05:36 Why Random Forest?
05:36 - 06:40 What is Random Forest Algorithm?
06:40 - 11:01 What is a Decision Tree?
11:01 - 14:18 How does the Decision Tree algorithm work?
14:18 - 17:27 How does the Random Forest algorithm work?
17:27 - 45:34 Use Case - IRIS Flower Analysis using Python

#RandomForestAlgorithm #MachineLearningAlgorithm #DataScience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn

What is Random Forest Algorithm?
The random forest algorithm is a supervised machine learning algorithm that takes randomly selected data and creates different decision trees. It then makes the collection of votes from trees to decide the class of the test object.

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[ashishjain]

Wow, the amount of effort to create these slides for teaching the material is obviously very high. Simply amazing :).

[monome]

never had any tutorial/lecture explaining so well, so simply yet so detailed; thank you so so so much !

[kaustavsarkar]

This channel has one of the best machine learning videos available on the internet

[SimplilearnOfficial]

We hope this video was useful. The link for the dataset used in the video is provided in the description. Thanks!

[Hiyori___]

Amazing tutorial and best explanation ever with the fruits. Also I love how clearly you explain the code

[hemilpatel]

you are excellent in explaining the full process and code step to step. GREAT JOB.

[ganeshkumarpatel]

Dear simplilearn team here you put the best video to explain what Algorithms really are... But in LMS SELF PACED VIDEOS not so detailed explanation... Look into that and improve yourself

[GRANATE]

31:07 instead of we could also use "hot encoding" right?

[santosksingh]

You guys explain the concepts really well!!!

[KrishnoSarkar]

Very clear description of Random Forest technique and the codes

[paragjp]

Hi, initially random forest concept will using fruits concept. But in IRIS flower example it should show how random forest is working with example and diagram first. It would help to understand easily.

[nouhaylachataoui]

amazing explanation, so simply and detailed, thank you so much sir

[qone]

This video is really well done in that the teaching quality is good and the instructor understands the level of beginners by explaining everything clearly and simply

[philhearing]

You are a great lecturer, thank you for explanation!

[ankitabhatia]

At 16:38, on what basis is the prediction from Tree 2 cherries. If I see the inputs, the first split Color is not Red, so the condition yields false and thus the prediction is still orange.

[bluevalley]

Thank you so much m. I’ve learnt alot from you

[GRANATE]

16:28 Why does it mark the (black fruit) as orange? I mean the data is missing? Does it pick this one Decision randomly? => If it would pick red, the whole example would not work, right?

[Dnte-RN]

Great skill with explaining everything in simple words!

[Stephen-sdxe]

Awesome tutorial by simplilearn. Thank you so much!

[swatijha]

Hey, just awesome video ! Concept were explained clearly