Understanding the basics of data science is really important if you want to grasp how machine learning works. Here’s a simple breakdown of their connection:

1. Getting to Know Data:
   Data science helps us learn how to gather, clean up, and look at data. This is the first step to using machine learning in a smart way.

2. Different Types of Machine Learning:

   • Supervised Learning: This type uses data that already has labels. For example, it can help predict house prices based on things like size and location.
   • Unsupervised Learning: This one finds patterns in data that doesn’t have labels. For instance, it can group customers based on what they buy.

3. Algorithms and Their Uses:

   • Some common methods, called algorithms, are linear regression (which helps make predictions) and k-means clustering (which helps group customers).
   • These methods are used for various purposes, like spotting spam in emails and suggesting products in online shopping.

By combining data science with machine learning, we can create strong and useful models!