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In this tutorial, we cover some basics on vectors, as they are essential with the Support Vector Machine. https://pythonprogramming.nethttps://twitter.com/sentdexhttps://www.facebook.com/pythonprogra...https://plus.google.com/+sentdex

In this tutorial, we introduce the theory of the Support Vector Machine (SVM), which is a classification learning algorithm for machine learning. We also show how to apply the SVM…

We're going to cover a few final thoughts on the K Nearest Neighbors algorithm here, including the value for K, confidence, speed, and the pros and cons of the algorithm…

Now that we have our own custom K Nearest Neighbors that we learned how to program ourselves, and we have tested it against some simple data, we're ready to test…

In the previous tutorial, we began structuring our K Nearest Neighbors example, and here we're going to finish it. The idea of K nearest neighbors is to just take a…

Now that we understand the intuition behind how we calculate the distance/proximity between feature sets, we're ready to begin building our own version of K Nearest Neighbors in code from…

In the previous tutorial, we covered how to use the K Nearest Neighbors algorithm via Scikit-Learn to achieve 95% accuracy in predicting benign vs malignant tumors based on tumor attributes.…

In the last part we introduced Classification, which is a supervised form of machine learning, and explained the K Nearest Neighbors algorithm intuition. In this tutorial, we're actually going to…

We begin a new section now: Classification. In covering classification, we're going to cover two major classificiation algorithms: K Nearest Neighbors and the Support Vector Machine (SVM). While these two…

We've been learning about regression, and even coded our own very simple linear regression algorithm. Along with that, we've also built a coefficient of determination algorithm to check for the…

Now that we know what we're looking for, let's actually program the coefficient of determination in Python.https://pythonprogramming.nethttps://twitter.com/sentdexhttps://www.facebook.com/pythonprogra...https://plus.google.com/+sentdex

Welcome to the 10th part of our of our machine learning regression tutorial within our Machine Learning with Python tutorial series. We've just recently finished creating a working linear regression…

Welcome to the 9th part of our machine learning regression tutorial within our Machine Learning with Python tutorial series. We've been working on calculating the regression, or best-fit, line for…

Welcome to the 8th part of our machine learning regression tutorial within our Machine Learning with Python tutorial series. Where we left off, we had just realized that we needed…

Welcome to the seventh part of our machine learning regression tutorial within our Machine Learning with Python tutorial series. Up to this point, you have been shown the value of…

In the previous Machine Learning with Python tutorial we finished up making a forecast of stock prices using regression, and then visualizing the forecast with Matplotlib. In this tutorial, we'll…