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Prediction using Supervised ML First Question comes to mind What is the Supervised Machine Learning (ML) ? Supervised learning, also known as supervised machine learning, is a subcategory of machine learning and artificial intelligence . It is defined by its use of labeled datasets to train algorithms that to classify data or predict outcomes accurately. As input data is fed into the model, it adjusts its weights until the model has been fitted appropriately, which occurs as part of the cross validation process. Supervised learning helps organizations solve for a variety of real-world problems at scale, such as classifying spam in a separate folder from your inbox. Example of Supervised Learning Algorithms: Linear Regression Logistic Regression Nearest Neighbor Gaussian Naive Bayes Decision Trees Support Vector Machine (SVM) Random Forest So We are using the Linear Regression for the Assignment . So What is Linear Regression ? Linear regression is u...

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