Supervised Learning Models
Machine Learning
| Beginner
- 13 Videos | 33m 13s
- Includes Assessment
- Earns a Badge
Supervised learning is one of the most popular techniques in machine learning. Explore supervised learning models and how to use them to solve problems.
WHAT YOU WILL LEARN
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describe the difference between classification and regression models and the use for each of them
describe how decision trees can be applied regression problems
describe the CART decision tree learning algorithm and how it's different from C4.5
describe the random forests machine learning
use SciKit Learn to build a random forest model in Python
describe the logistic regression model
use SciKit Learn to fit a logistic regression model -
describe support vector machine models
describe how to use kernel methods with support vector machines to model more complex data
use SciKit Learn to train and support vector machines in Python
describe the Naïve Bayes classifiers and how to train them
use SciKit Learn to fit a Naïve Bayes classifier in Python
describe different supervised learning models in Python
IN THIS COURSE
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1.Classification vs. Regression3m 8sUP NEXT
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2.Regression Trees1m 55s
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3.CART Decision Tree Learning2m 8s
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4.Random Forests1m 56s
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5.Random Forests with Python3m 28s
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6.Logistic Regression Model2m 7s
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7.Logistic Regression in Python3m 14s
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8.Support Vector Machines (SVM)1m 32s
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9.Kernel Methods for SVMs1m 42s
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10.Support Vector Machines in Python3m 45s
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11.Naïve Bayes Classifiers2m 39s
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12.Naïve Bayes Classifiers in Python3m 40s
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13.Exercise: Supervised Learning in Python1m 59s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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