Our machine learning course from EduCBA is meticulously designed to deliver the best in the most concise manner while yet covering the most recent technology in the market.

Here are a handful of this course's high points:

To cover the section of Statistics needed for the course, this course will begin with statistics fundamentals. This part is created to make the course's statistics a little more enjoyable.

Machine learning with TensorFlow would be covered in the next section. TensorFlow is an open-source library or framework that makes it easier to get data, train models, display predictions, and includes a foundation for future performance improvement.

We would go headfirst into Deep Learning after finishing machine learning with TensorFlow. A form of machine learning known as "deep learning" allows networks to learn from even unstructured input. The brain of a human does.

Natural Language Processing, Bayesian A/B testing, Business Intelligence Publisher using Siebel, Learning data science in R, Beginner to Advanced Level Octave Tutorial, and many other topics are among the course's primary highlights.

One will learn about the technical depth of supervised and unsupervised learning in this course. Regression, classification, and a rule-based heuristic approach are all included in supervised learning. Unsupervised covers clustering techniques and a thorough investigation of that.

Additionally, this course will cover hints and techniques for carrying out exploratory data analysis (EDA).

Course Duration:-1h 6m