Join the conversation
![](https://codanics.com/wp-content/uploads/2024/04/IMG_20240410_175137-1-scaled.jpg)
Done
Reply
![](https://codanics.com/wp-content/uploads/2024/05/My_profile_pic.jpg)
I learned in this lecture about Regression, Classification, and Clustering.
Reply
![](https://codanics.com/wp-content/uploads/2023/10/e24e3cc0-f9cd-49cc-9e5e-e7fea619bd42.jpg)
I learned in this video Regression, Classification, and Clustering.
Reply
![](https://codanics.com/wp-content/uploads/2024/02/2.jpg)
This is the overview lecture on evaluation matrics like regression matrics, classification matrics, and clustering.
Reply
![](https://codanics.com/wp-content/uploads/2023/10/9dd24f5a-b137-440a-baba-1855925152a0.jpg)
AOA, In this lecture, I learned how evaluation metrics help us measure model accuracy. We know that there are three types of machine learning algorithms, which are1-Regression
2-Classification (predicting more than two variables or dividing things into classes )
3-ClusteringAnd I also learned the difference between these algorithms, which are1-REGRESSION
(Supervised learning,
Output is a continuous quantity,
Prediction, and
Linear regression algorithm)2-CLASSIFICATION
(Supervised learning,
Output is a categorical quantity,
Compute the categorical data,
Classify the emails, and
Logistic regression algorithm)3-CLUSTERING
(Unsupervised learning,
Assign data points to cluster,
To group similar items in the cluster,
Fraud detection in transactions, and
K-means algorithm )
ALLAH PAK aap ko sahat o aafiat wali lambi umar ata kray aor ap ko dono jahan ki bhalian naseeb farmaey,Ameen.
Reply