Shobha
The best way to predict the future is to invent it
What are the different types of machine learning models used for predictive analytics?
There are different types of machine learning models used for predictive analytics, which are as follows:
1.Regression Models: These models are used to predict continuous numerical outcomes based on input features. For example,Predicting sales, stock prices,or temperature.
2. Classification Models: These models categorize data into predefined classes or categories. They are used when the output variable is categorical.For example,Classifying emails as spam or not, identifying customer churn, or diagnosing diseases.
3. Clustering Models: These models group similar data points together based on their features without any predefined labels.For example,Segmenting customers based on purchasing behavior, or grouping similar products in a catalog.
1.Regression Models: These models are used to predict continuous numerical outcomes based on input features. For example,Predicting sales, stock prices,or temperature.
2. Classification Models: These models categorize data into predefined classes or categories. They are used when the output variable is categorical.For example,Classifying emails as spam or not, identifying customer churn, or diagnosing diseases.
3. Clustering Models: These models group similar data points together based on their features without any predefined labels.For example,Segmenting customers based on purchasing behavior, or grouping similar products in a catalog.