Machine Learning 2 - Introduction to ML

In this lesson, we start with a quick prediction using a classifier that predicts if someone make more or less than $50K annually. This classifier uses a dataset from UCI known as Adult Census. We start with an introduction to scikit-learn then we go through the three main types of predictive algorithms: classification, regression and clustering. Then we discuss some public sources Data Sets. Then we explain how we build the predictive model that we showed int he beginning of the video. It is built using a kNN (Known Nearest Neighbors) Classifier. We discuss also how to do a simple grid search for fine tune your algorithm parameters. Links used in the video: Amazon AWS: goo.gl/RIeSjK/ Roshan Project: goo.gl/oFmMc1/

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