In a machine learning course, you will learn how to work with different types of data, understand patterns, and create models that help in predicting future results. You’ll also learn popular tools like Python and libraries such as Pandas, NumPy, and Scikit-learn. The course covers basic topics like supervised and unsupervised learning, algorithms, and real-world projects.

In a machine learning course, you will learn how to work with different types of data, understand patterns, and create models that help in predicting future results. You’ll also learn popular tools like Python and libraries such as Pandas, NumPy, and Scikit-learn. The course covers basic topics like supervised and unsupervised learning, algorithms, and real-world projects.

In a machine learning course, you will learn how to work with different types of data, understand patterns, and create models that help in predicting future results. You’ll also learn popular tools like Python and libraries such as Pandas, NumPy, and Scikit-learn. The course covers basic topics like supervised and unsupervised learning, algorithms, and real-world projects.