K-Means Clustering Algorithm | K-Means Clustering With Python | Machine Learning | Great Learning

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This "K-means clustering" tutorial will help you to comprehensively learn all the concepts of the k-means algorithm in machine learning. K-means Clustering is one of the most common data analysis technique used to get an intuition about the structure of the data. It has various applications such as, Identifying Fake news, Filtering spam mails & Customer Segmentation.

This K-means clustering tutorial will comprise of the following topics:
🏁 Topics Covered:
0:42 - Understanding Data Science Life Cycle
12:58 - K-means Case Study on Depression Dataset
31:03 - k-means Case Study on Bank Dataset

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Also to access the datasets, projects, assessments, and codes, register on Great Learning Academy. You can also enroll for any of our 80+ courses offering 1000+ hours of content for free.

greatlearning
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Sir can you provide the dataset for this project

anuragyadav
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Hi sir, could you kindly provide the code for this session?

dannielfisico
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Hi guys could someone kindly provide the code or the files?

dannielfisico
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I ama a complete beginner and terms like univariant bi variant etc does not make sense... Any prerequisite video that I should watch??

dhivyaakumar
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Hey GreatLearnig Could U kindly provide Code for this session?

Ramu
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From where I can get datasets of both projects ?? Can you provide any link ?? If can . It will be a great favour for better understanding of lecture. Kindly guide me . I will be very thankful to you.

shahzaibansari
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Do I need high school level maths for this or not

kimsing
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