What are some basic machine learning algorithms I should know?
Some basic machine learning algorithms include linear regression, decision trees, and k-nearest neighbors.
Can you explain how linear regression works?
Linear regression predicts a target variable by fitting a linear equation to observed data. It finds the best-fit line.
What is the difference between supervised and unsupervised learning?
Supervised learning uses labeled data to train models, while unsupervised learning finds patterns in unlabeled data.
Are there any resources for beginners to learn more about these algorithms?
Yes, websites like Coursera, edX, and books like 'Hands-On Machine Learning' are great for beginners.
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