Learn to use Python, the ideal programming language for machine learning with this comprehensive course from Hands-On System. Python plays an important role in the adoption of machine learning (ML) in the business environment.

Nowadays machine learning is one of the most sought after skills in the industry. After completion of this course, students will understand and apply the concepts of machine learning and applied statistics for real-world problems.

What will you learn in this course?

The topics we will be covering in this course are Python libraries for data manipulation and visualization such as numpy, matplotlib, and pandas. Also, linear algebra, exploratory data analysis, linear regression, various classification techniques, clustering, dimensionality reduction, and artificial neural networks.

Who should take this course?

This course is designed for students who are pursuing a bachelor’s or master’s degree in statistics, mathematics, computer science, economics or any engineering fields. The students should have a little bit of knowledge in coding and undergraduate level mathematics.

Terminal competencies of the course, one would have learned about tools to train machines based on real-world situations using machine learning algorithms, as well as to create complex algorithms and neural networks. During the latter stage of the course, learners will be introduced to real-world use cases of machine learning with Python for a hands-on learning experience which would prepare them to create applications efficiently.