Are you interested in learning data science with Python? Do you want to know what you need to get started? Then you have picked up the right guide.
As more and more data becomes available and accessible, we need to find bigger and better ways of processing it. That's where data science comes in. It is the future of AI, and that makes it important to understand, if not learn. It's also important to understand the value data science can add to businesses, and by the end of this guide, you will know what it is, how it works, and how it can use data to extract meaningful, valuable insights.
Here's what you will learn:
The difference between data analysis, data science, and machine learningThe implications and potential of data scienceHow to get your data and process itWhat feature selection isData sourcesHow to use data visualization with matplotlibThe difference between supervised, unsupervised, and reinforcement learningWhat simple and multiple linear regression isA look at decision trees and random forestsWhat classification is, including logistic regression and K-Nearest NeighborsDecision tree and random forest classificationA discussion on clusteringA deeper look into reinforcement learning and how it worksA brief look at artificial neural networksAnd so much more!
If you want to get a head start on your data science journey, click that Buy Now button and never look back.
