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Update 07. Advanced SVMs - Python.ipynb #9

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4 changes: 2 additions & 2 deletions 07. Advanced SVMs - Python.ipynb
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Expand Up @@ -5,7 +5,7 @@
"collapsed": true
},
"cell_type": "markdown",
"source": "Exercise 7 - Advanced Support Vector Machines\n=====\n\nSupport vector machines let us predict catergories. In this example we will be looking at practically using SVMs by formatting data correctly, visualising the SVM model and then evaluating the SVM model.\n\nWe will be looking at __prions__ - misfolded proteins that are associated with several fatal neurodegenerative diseases (kind of like Daleks, if you have seen Doctor Who). Looking at examples of proteins mass and weight, we will build a predictive model to detect prions in blood samples.\n\n#### Run the code below to set up the graphing features for this notebook."
"source": "Exercise 7 - Advanced Support Vector Machines\n=====\n\nSupport vector machines let us predict categories. In this example we will be looking at practically using SVMs by formatting data correctly, visualising the SVM model and then evaluating the SVM model.\n\nWe will be looking at __prions__ - misfolded proteins that are associated with several fatal neurodegenerative diseases (kind of like Daleks, if you have seen Doctor Who). Looking at examples of proteins mass and weight, we will build a predictive model to detect prions in blood samples.\n\n#### Run the code below to set up the graphing features for this notebook."
},
{
"metadata": {
Expand Down Expand Up @@ -253,4 +253,4 @@
},
"nbformat": 4,
"nbformat_minor": 2
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}