Python Machine Learning: A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learni - Paperback

by Josh Hugh Learning (Author)

Are you Interested in Learning Some of the Best Machine Learning Algorithms that Will Help you to See Some Amazing Results and Actually be Able to sort Through your Data?
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• The basics of machine learning and why it is so important to learn.
• The importance of data and the different types of data that show up in Python and how to use these in machine learning.
• Some of the supervised learning algorithms that work with regressions, including polynomial regression, gradient descent, linear regression, and cost function.
• How to work with regularization and avoid the issue of overfitting.
• Some of the best-supervised learning algorithms of classification, including Logistic Regressions.
• How to work with non-linear classification models, like SVMs and neural networks, for your needs.
• The different validation and optimization techniques that you can use to make sure your algorithms respond the way that you want them to.
• Moving on to some unsupervised machine learning that we can use, and the best clustering algorithms along the way.
• A look at the Principal Component Analysis and the Linear Discriminant Analysis and how they compare to one another.