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I learned about the different Machine learning types and their matrics.
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Done
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I learned in this lecture about Regression, Classification, and Clustering.
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I learned in this video Regression, Classification, and Clustering.
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This is the overview lecture on evaluation matrics like regression matrics, classification matrics, and clustering.
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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.
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