Ever wondered how machines figure out the "perfect number of clusters" — without trial and error?
Turns out, there's a smart and simple trick behind it… and it's called the Elbow Method!
As someone diving deep into Machine Learning, I just completed the full ML course from Tpoint Tech — and trust me, it’s one of the most beginner-friendly and insightful learning experiences I've had so far.
One concept that truly blew my mind is the Elbow Method in K-Means Clustering, where a graph helps decide how to group data intelligently — just like how we organize real-life things by pattern.
If you're an ML beginner, student, or curious mind wanting to learn how machines recognize patterns — this video is a must-watch.
Watch here
https://youtu.be/IlLFlU1FkIs?si=aGQsc6Ixc4wN9Jii
Don't forget to subscribe Tpoint Tech channel
This channel is a great resource if you're starting your ML or coding journey."
#MachineLearning #ElbowMethod #Clustering #KMeans #TpointTech #MLForBeginners #AI #DataScience #Python #SelfLearning #LinkedInLearning #TechForEveryone #LearningNeverStops #UpskillNow
    
  Turns out, there's a smart and simple trick behind it… and it's called the Elbow Method!
As someone diving deep into Machine Learning, I just completed the full ML course from Tpoint Tech — and trust me, it’s one of the most beginner-friendly and insightful learning experiences I've had so far.
One concept that truly blew my mind is the Elbow Method in K-Means Clustering, where a graph helps decide how to group data intelligently — just like how we organize real-life things by pattern.
If you're an ML beginner, student, or curious mind wanting to learn how machines recognize patterns — this video is a must-watch.
Watch here
https://youtu.be/IlLFlU1FkIs?si=aGQsc6Ixc4wN9Jii
Don't forget to subscribe Tpoint Tech channel
This channel is a great resource if you're starting your ML or coding journey."
#MachineLearning #ElbowMethod #Clustering #KMeans #TpointTech #MLForBeginners #AI #DataScience #Python #SelfLearning #LinkedInLearning #TechForEveryone #LearningNeverStops #UpskillNow
Ever wondered how machines figure out the "perfect number of clusters" — without trial and error?
Turns out, there's a smart and simple trick behind it… and it's called the Elbow Method!
As someone diving deep into Machine Learning, I just completed the full ML course from Tpoint Tech — and trust me, it’s one of the most beginner-friendly and insightful learning experiences I've had so far.
One concept that truly blew my mind is the Elbow Method in K-Means Clustering, where a graph helps decide how to group data intelligently — just like how we organize real-life things by pattern.
💡 If you're an ML beginner, student, or curious mind wanting to learn how machines recognize patterns — this video is a must-watch.
👉Watch here
 https://youtu.be/IlLFlU1FkIs?si=aGQsc6Ixc4wN9Jii 
Don't forget to subscribe Tpoint Tech channel
This channel is a great resource if you're starting your ML or coding journey."
#MachineLearning #ElbowMethod #Clustering #KMeans #TpointTech #MLForBeginners #AI #DataScience #Python #SelfLearning #LinkedInLearning #TechForEveryone #LearningNeverStops #UpskillNow
 
                
              
          
                    
          
          
            
            
               0 Commentarii
            
            
            
            
               0 Distribuiri
            
            
            
                          
                 2K Views
              
                        
            
                                    
            
                                    
            
                        
                      
          
        
        
        
                
      
     
                                               
                                                             
                               
         English
English
             Arabic
Arabic
             French
French
             Spanish
Spanish
             Portuguese
Portuguese
             Deutsch
Deutsch
             Turkish
Turkish
             Dutch
Dutch
             Italiano
Italiano
             Russian
Russian
             Portuguese (Brazil)
Portuguese (Brazil)
             Greek
Greek