Python - Random Forest Ensemble technique | Python Courses in Tamil | Skillfloor - video Dailymotion

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Transcript

00:00Hello everyone, in the video we will talk about Random Forest Ensemble Learning Technique.

00:07Let's talk about Random Forest Bagging Algorithm.

00:14Random Forest is Ensemble Bagging Algorithm.

00:17We will combine multiple models and outputs and predict the final outcomes.

00:23For example, we will consider a data set.

00:26So, in the data set, there are 100 rows and 20 features.

00:30So, in the basic bagging technique, we will arrange multiple models.

00:37So, in the case, we will create a n number of models.

00:41In the Random Forest, we will use the decision tree.

00:46The decision tree will be used in the random forest.

00:51Normally, in the bagging technique, we will use different algorithms to deal with different algorithms.

00:56We will build the decision tree in the random forest.

01:01Decision tree 1 and decision tree n.

01:04So, first decision tree, we will use sample 1.

01:07So, this is the 50th row and 20th row.

01:10Then, along with sample 1.

01:13Sample 1.

01:14Sample 1.

01:15Provide.

01:16Provide.

01:17Provide.

01:18Provide.

01:19Provide.

01:20Then, second model.

01:21M2.

01:22M2.

01:23M2.

01:24Sample 2.

01:25So, that is the 35th row.

01:2650th row.

01:27Then, feature 2.

01:28Provide.

01:29Provide.

01:30Provide.

01:31So, 10th column.

01:3220th column.

01:33Then, nth model.

01:34Nth model.

01:35Sn.

01:36So, sn.

01:3750th row.

01:3840th row.

01:39Very consider.

01:40Then, features.

01:41Third column.

01:4211th column.

01:43So, in the model.

01:44Samples and features.

01:45Different different samples and features.

01:46Provide.

01:47So, another one.

01:48The same.

01:49The same.

01:50The same.

01:51The same.

01:52The same.

01:53The same.

01:54The same.

01:55The same.

01:56The same.

01:57The same.

01:58So, another one.

01:59The same.

02:00Row sampling.

02:01Row and column sampling.

02:02One.

02:03The same.

02:04The same.

02:05Row and column sampling.

02:06One.

02:07So, this one.

02:08Bootstrap.

02:09That's the same.

02:10Then.

02:11Then.

02:12Now, one.

02:13Classification problem.

02:14One.

02:15Data deal.

02:16Okay.

02:17And the particular person.

02:19Diapetic.

02:20So, different features.

02:22Consider.

02:23So, one.

02:25Classification problem.

02:26What the number of decisions.

02:27That's the same.

02:28Decision tree.

02:29Classifier.

02:30Decision tree.

02:31Classifier.

02:32Decision tree.

02:33Classifier.

02:34So, by default.

02:36Default.

02:37What is that.

02:38100.

02:39Decision tree.

02:40Are you ready?

02:41Okay.

02:43So, I know.

02:44This.

02:45Decision tree.

02:46Classifier.

02:47provide pundro so the particular person good heart disease is

02:49irukkale and first model one the number good specific data is put

02:52up the roll in the 20th row varic provide pundro features and the

02:56fifth column in the 15th column varic we can find pundro so the

03:00particular testing data is good amul good machine model one

03:03one the number provide pundna and the particular person good

03:05diabetes is good then second model and the particular person

03:10good diabetes is illa then third model like final model

03:14one the number is good so the particular person is not

03:17diabetes is illa so the original product is good so

03:20yes or no. so the maximum voting average apply

03:27so the result are combined then and the particular person is

03:32diabetic is illa. this is a regression problem we deal with

03:38decision tree we can handle two so regression

03:431. Decisionary Regressor 2.

03:46So, here we have maximum voting average.

03:48We have average voting.

03:54So, here we have maximum voting.

03:56What we consider is classification problem.

03:58Average voting.

04:00Regression problem.

04:02So, here we have basic random for us work.

04:10This is random for us ensemble technique.

04:12Next video we will see.

Python - Random Forest Ensemble technique | Python Courses in Tamil | Skillfloor

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