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Advanced Machine Learning


SamatriX
Enrollment in this course is by invitation only

About This Course

The objective of the course is to help you learn the concepts, tools, and intution that you need to develop the programs that are capable of learning from the data.

During the course, we will cover a lrage number of machine learning models, from the simplest and the most commonly used to some of the advanced models. During this course, we will use production-ready Python framework such as Scikit-Learn. Scikit-Learn is a easy to use framework that is used to implement several machine learning algorithms efficiently. So, it helps the learners focus on thekey concepts of Machine Learning.

The course uses several projects, case studies and working examples for help develop intuitive understanding of Machine Learning. The course balances both the hands-on approach and theory so that the learer has a holistic understanding of the Machine Learning concepts.

Requirements

This course assumes that you have some Python programming experience and that you are familiar with Python’s main scientific libraries—in particular, NumPy, pandas, and Matplotlib.

The course assumes that you have programming experience in Python specially main scientific libraries such as NumPy, pandas, Seaborn, and Matplotlib. You have good understanding of Statistic and Probabilitic Modeling. Understaing of Linear Algebra would be an added advantage.

Course Staff

Course Staff Image #1

Staff Member #1

Vishal Jain is a seasoned industry leader with a rich experience in handling complex projects

Frequently Asked Questions

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The Samatrix E-Learning works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.