The training dataset is used to prepare a model, to train it. We pretend the test dataset is new data where the output values are withheld from the algorithm. We gather predictions from the trained model on the inputs from the test dataset and compare them to the withheld output...
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DATA SCIENCE QUEST
Introduction to the realm of Machine Learning
You can write cool Python codes for representing your learning model with the right ML Algorith,WIKI. Machine learning algorithms find natural patterns in data that generate insight and help you make better decisions and predictions. They are used every day to make critical decisions in medical diagnosis, stock trading, energy...
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First post!
This is my first post, how exciting!
This new journey in OpenSource Development will be a learning for a lifetime!
Intro to all the Dev platforms and host websites along with fiddling with Frontend, Backend, Full-Stack.