12/12/2023 Computer - IT - Webs
In machine learning, there are three parts to a modelling process viz.
1. Choosing and training a model (Training Data) (major chunk on 70%)
2. Validating (or tuning) the model. (about 15%)
3. Testing the model (Model Comparision) (about 15%)
You need to determine what kind of algorithm to use for various kind of problems. This is because some algorithms works better than others on certain kinds of data. For instance, if you are working with Structured Data, then decision trees algorithms like random forests, K-Nearest Neighbors (KNN) etc seems good. if you are working with Unstructured Data, then Deep Learning, Neural Networks, NLP etc seems good.
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