How Algorithms Works in Machine Learning?


Now that the machine learning environment is set up and you’ve chosen your programming language and libraries, you can next import your data directly from a CSV file. 

You can find hundreds of interesting datasets in CSV format from kaggle.com. After registering as a member of their platform, you can download a dataset of your choice. 

Best of all, Kaggle datasets are free and there is no cost to register as a user. The dataset will download directly to your computer as a CSV file, which means you can use Microsoft Excel to open and even perform basic algorithms such as linear regression on your dataset. 

Next is the third and final compartment that stores the algorithms. Beginners will typically start off by using simple supervised learning algorithms such as linear regression, logistic regression, decision trees, and k-nearest neighbors. 

Beginners are also likely to apply unsupervised learning in the form of k- means clustering and descending dimension algorithms.

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