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The lecture covers supervised learning and classification, using tumor size and other input attributes to predict benign or malignant cancer, and explains binary versus multiclass classification and attribute selection.
Master simple linear regression by fitting a straight line to predict a stipend from research experience, using the equation y = mx + c and minimizing the cost function.
This course will be a part of series of Free ML Courses to become an expert of ML. Presenting here its First Course on Machine Learning for becoming expert of ML.
This course presents the concepts of Supervised Machine Learning, Unsupervised Machine Learning, Regression and Classification.
It covers implementation of Simple Linear Regression.