Iris Dataset Analysis (Classification) | Machine Learning | Python

Veröffentlicht am: 16 Juni 2020
auf dem Kanal: Hackers Realm

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⭐️ Content Description ⭐️
In this video, I have analyzed the iris dataset in python with various techniques like EDA, Correlation Matrix, etc., The dataset has been trained with different models and got some good accuracy. You can check the testing and deployment of the model in the following video.
Iris Dataset Test & Deploy Tutorial:    • How to Deploy Machine Learning Model using...
Text-based Tutorial: https://www.hackersrealm.net/post/iri...
Dataset link: https://www.kaggle.com/uciml/iris
GitHub Code Repo: http://bit.ly/mlcoderepo

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🕒 Timeline
00:00 Introduction to Iris Dataset Analysis
01:24 Import modules and load data using pandas
04:27 Delete unnecessary column in Iris dataset
05:11 Statistics data information
07:01 Preprocessing the Iris dataset
07:57 Exploratory Data Analysis of Iris dataset
16:32 Correlation matrix for iris dataset
20:51 Label Encoding for output class
23:20 Splitting the data for training & testing
25:34 Model Training & Testing for iris species classification
31:45 End

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